model_id
stringclasses 120
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stringclasses 120
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stringclasses 50
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stringdate 2022-03-02 23:29:04
2025-10-25 18:04:25
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11M
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int64 5
12.8k
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values | tags
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int64 5
620
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1k
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stringclasses 37
values | model_type
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values | num_parameters
float64 268M
65.7B
⌀ | max_position_embeddings
float64 2.05k
10.2M
⌀ | hidden_size
float64 768
8.19k
⌀ | num_attention_heads
float64 12
128
⌀ | num_hidden_layers
float64 16
92
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float64 32k
256k
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values | secondary_categories
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values | task_types
stringclasses 34
values | language_support
stringclasses 19
values | use_cases
stringclasses 38
values | performance_metrics
stringclasses 2
values | a2ap_compatibility_score
float64 40
96
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stringclasses 4
values | evolution_potential
float64 0.4
0.96
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stringdate 2025-10-29 02:19:34
2025-10-29 02:31:28
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stringclasses 92
values | special_features
stringclasses 49
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
arcee-ai/AFM-4.5B-Base
|
AFM-4.5B-Base
|
arcee-ai
|
2025-07-29T15:01:10+00:00
| 10,468
| 30
|
transformers
|
['transformers', 'safetensors', 'arcee', 'text-generation', 'en', 'es', 'fr', 'de', 'it', 'pt', 'ru', 'ar', 'hi', 'ko', 'zh', 'arxiv:2410.06511', 'license:apache-2.0', 'autotrain_compatible', 'endpoints_compatible', 'region:us']
| 10
| 901
|
ArceeForCausalLM
|
arcee
| 3,158,845,440
| 65,536
| 2,560
| 20
| 36
| 128,004
|
Language Model
|
['RLHF']
|
['text-generation', 'code-generation', 'reasoning']
|
['English', 'Chinese', 'Korean', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['Production', 'Education']
|
{}
| 65
|
Medium
| 0.65
|
2025-10-29T02:30:22.047017
|
license: apache-2.0 language: - en - es - fr - de - it - pt - ru - ar - hi - ko - zh library_name: transformers extra_gated_prompt: Company name is optional, please put NA if you would prefer not to s...
|
[]
|
cerebras/GLM-4.6-REAP-218B-A32B
|
GLM-4.6-REAP-218B-A32B
|
cerebras
|
2025-10-23T23:44:22+00:00
| 228
| 10
|
transformers
|
['transformers', 'safetensors', 'glm4_moe', 'text-generation', 'glm', 'MOE', 'pruning', 'compression', 'conversational', 'en', 'arxiv:2510.13999', 'base_model:zai-org/GLM-4.6-FP8', 'base_model:finetune:zai-org/GLM-4.6-FP8', 'license:mit', 'autotrain_compatible', 'endpoints_compatible', 'region:us']
| 10
| 902
|
Glm4MoeForCausalLM
|
glm4_moe
| 29,716,643,840
| 202,752
| 5,120
| 96
| 92
| 151,552
|
Language Model
|
['Specialized']
|
['text-generation', 'question-answering', 'code-generation', 'reasoning']
|
['English', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['Research', 'Production', 'Creative Writing']
|
{}
| 60
|
Hard
| 0.6
|
2025-10-29T02:30:22.545889
|
language: - en library_name: transformers tags: - glm - MOE - pruning - compression license: mit name: cerebras/GLM-4.6-REAP-218B-A32B-FP8 description: > This model was obtained by uniformly pruning 4...
|
['Function Calling', 'Fast Inference', 'Memory Efficient', 'Multi-turn']
|
utter-project/EuroLLM-1.7B
|
EuroLLM-1.7B
|
utter-project
|
2024-08-06T09:33:16+00:00
| 13,168
| 89
|
transformers
|
['transformers', 'pytorch', 'llama', 'text-generation', 'en', 'de', 'es', 'fr', 'it', 'pt', 'pl', 'nl', 'tr', 'sv', 'cs', 'el', 'hu', 'ro', 'fi', 'uk', 'sl', 'sk', 'da', 'lt', 'lv', 'et', 'bg', 'no', 'ca', 'hr', 'ga', 'mt', 'gl', 'zh', 'ru', 'ko', 'ja', 'ar', 'hi', 'arxiv:2409.16235', 'license:apache-2.0', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'region:us']
| 9
| 903
|
LlamaForCausalLM
|
llama
| 1,470,103,552
| 4,096
| 2,048
| 16
| 24
| 128,000
|
Language Model
|
[]
|
['question-answering', 'translation', 'summarization', 'code-generation']
|
['English', 'Chinese', 'Korean', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic', 'Multilingual']
|
['General Purpose']
|
{}
| 83
|
Medium
| 0.83
|
2025-10-29T02:30:22.769931
|
license: apache-2.0 language: - en - de - es - fr - it - pt - pl - nl - tr - sv - cs - el - hu - ro - fi - uk - sl - sk - da - lt - lv - et - bg - 'no' - ca - hr - ga - mt - gl - zh - ru - ko - ja - a...
|
['RAG Support', 'Fast Inference', 'Safety Aligned']
|
Qwen/Qwen3-4B-Thinking-2507
|
Qwen3-4B-Thinking-2507
|
Qwen
|
2025-08-05T11:02:27+00:00
| 299,052
| 437
|
transformers
|
['transformers', 'safetensors', 'qwen3', 'text-generation', 'conversational', 'arxiv:2505.09388', 'license:apache-2.0', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'region:us']
| 9
| 904
|
Qwen3ForCausalLM
|
qwen3
| 3,220,111,360
| 262,144
| 2,560
| 32
| 36
| 151,936
|
Language Model
|
[]
|
['text-generation', 'question-answering', 'code-generation', 'reasoning', 'conversation']
|
['English', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic', 'Multilingual']
|
['Research', 'Production', 'Creative Writing']
|
{}
| 68
|
Medium
| 0.68
|
2025-10-29T02:30:23.012123
|
library_name: transformers license: apache-2.0 license_link: https://huggingface.co/Qwen/Qwen3-4B-Thinking-2507/blob/main/LICENSE pipeline_tag: text-generation <a href="https://chat.qwen.ai/" target="...
|
['Multi-turn', 'Safety Aligned']
|
google/gemma-3-270m
|
gemma-3-270m
|
google
|
2025-08-05T18:50:31+00:00
| 130,610
| 889
|
transformers
|
['transformers', 'safetensors', 'gemma3_text', 'text-generation', 'gemma3', 'gemma', 'google', 'arxiv:2503.19786', 'arxiv:1905.07830', 'arxiv:1905.10044', 'arxiv:1911.11641', 'arxiv:1705.03551', 'arxiv:1911.01547', 'arxiv:1907.10641', 'arxiv:2311.07911', 'arxiv:2311.12022', 'arxiv:2411.04368', 'arxiv:1904.09728', 'arxiv:1903.00161', 'arxiv:2009.03300', 'arxiv:2304.06364', 'arxiv:2103.03874', 'arxiv:2110.14168', 'arxiv:2108.07732', 'arxiv:2107.03374', 'arxiv:2403.07974', 'arxiv:2305.03111', 'arxiv:2405.04520', 'arxiv:2210.03057', 'arxiv:2106.03193', 'arxiv:1910.11856', 'arxiv:2502.12404', 'arxiv:2502.21228', 'arxiv:2404.16816', 'arxiv:2104.12756', 'arxiv:2311.16502', 'arxiv:2203.10244', 'arxiv:2404.12390', 'arxiv:1810.12440', 'arxiv:1908.02660', 'arxiv:2310.02255', 'arxiv:2312.11805', 'license:gemma', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'region:us']
| 9
| 905
|
Unknown
|
unknown
| null | null | null | null | null | null |
General Language Model
|
[]
|
['text-generation']
|
['English']
|
['General Purpose']
|
{}
| 40
|
Critical
| 0.4
|
2025-10-29T02:30:24.312118
|
No README available
|
[]
|
mistralai/Mistral-7B-Instruct-v0.2
|
Mistral-7B-Instruct-v0.2
|
mistralai
|
2023-12-11T13:18:44+00:00
| 2,592,561
| 2,994
|
transformers
|
['transformers', 'pytorch', 'safetensors', 'mistral', 'text-generation', 'finetuned', 'mistral-common', 'conversational', 'arxiv:2310.06825', 'license:apache-2.0', 'autotrain_compatible', 'text-generation-inference', 'region:us']
| 8
| 906
|
MistralForCausalLM
|
mistral
| 6,573,522,944
| 32,768
| 4,096
| 32
| 32
| 32,000
|
Language Model
|
['Fine-tuned']
|
['text-generation', 'conversation']
|
['English', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['Production', 'Education']
|
{}
| 78
|
Medium
| 0.78
|
2025-10-29T02:30:24.546203
|
library_name: transformers license: apache-2.0 tags: - finetuned - mistral-common new_version: mistralai/Mistral-7B-Instruct-v0.3 inference: false widget: - messages: - role: user content: What is you...
|
['RAG Support', 'Long Context']
|
microsoft/Phi-4-multimodal-instruct
|
Phi-4-multimodal-instruct
|
microsoft
|
2025-02-24T22:33:32+00:00
| 541,437
| 1,519
|
transformers
|
['transformers', 'safetensors', 'phi4mm', 'text-generation', 'nlp', 'code', 'audio', 'automatic-speech-recognition', 'speech-summarization', 'speech-translation', 'visual-question-answering', 'phi-4-multimodal', 'phi', 'phi-4-mini', 'custom_code', 'multilingual', 'ar', 'zh', 'cs', 'da', 'nl', 'en', 'fi', 'fr', 'de', 'he', 'hu', 'it', 'ja', 'ko', 'no', 'pl', 'pt', 'ru', 'es', 'sv', 'th', 'tr', 'uk', 'arxiv:2503.01743', 'arxiv:2407.13833', 'license:mit', 'autotrain_compatible', 'region:us']
| 8
| 907
|
Phi4MMForCausalLM
|
phi4mm
| 4,238,475,264
| 131,072
| 3,072
| 24
| 32
| 200,064
|
Language Model
|
['Fine-tuned', 'RLHF', 'LoRA', 'Specialized']
|
['text-generation', 'question-answering', 'text-classification', 'translation', 'summarization', 'code-generation', 'reasoning', 'conversation']
|
['English', 'Chinese', 'Korean', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic', 'Multilingual']
|
['Research', 'Production', 'Education', 'Business', 'Healthcare', 'Legal']
|
{}
| 91
|
Easy
| 0.91
|
2025-10-29T02:30:24.744552
|
license: mit license_link: https://huggingface.co/microsoft/Phi-4-multimodal-instruct/resolve/main/LICENSE language: - multilingual - ar - zh - cs - da - nl - en - fi - fr - de - he - hu - it - ja - k...
|
['Function Calling', 'RAG Support', 'Long Context', 'Fast Inference', 'Multi-turn', 'Safety Aligned']
|
Qwen/Qwen3-1.7B
|
Qwen3-1.7B
|
Qwen
|
2025-04-27T03:41:05+00:00
| 1,217,922
| 300
|
transformers
|
['transformers', 'safetensors', 'qwen3', 'text-generation', 'conversational', 'arxiv:2505.09388', 'base_model:Qwen/Qwen3-1.7B-Base', 'base_model:finetune:Qwen/Qwen3-1.7B-Base', 'license:apache-2.0', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'region:us']
| 8
| 908
|
Qwen3ForCausalLM
|
qwen3
| 1,720,451,072
| 40,960
| 2,048
| 16
| 28
| 151,936
|
Language Model
|
[]
|
['text-generation', 'question-answering', 'translation', 'code-generation', 'reasoning', 'conversation']
|
['English', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic', 'Multilingual']
|
['Production', 'Creative Writing']
|
{}
| 78
|
Medium
| 0.78
|
2025-10-29T02:30:24.948566
|
library_name: transformers license: apache-2.0 license_link: https://huggingface.co/Qwen/Qwen3-1.7B/blob/main/LICENSE pipeline_tag: text-generation base_model: - Qwen/Qwen3-1.7B-Base <a href="https://...
|
['Fast Inference', 'Multi-turn', 'Safety Aligned']
|
MiniMaxAI/MiniMax-M1-80k
|
MiniMax-M1-80k
|
MiniMaxAI
|
2025-06-13T08:21:14+00:00
| 214
| 682
|
transformers
|
['transformers', 'safetensors', 'minimax_m1', 'text-generation', 'vllm', 'conversational', 'custom_code', 'arxiv:2506.13585', 'license:apache-2.0', 'autotrain_compatible', 'region:us']
| 8
| 909
|
MiniMaxM1ForCausalLM
|
minimax_m1
| 37,467,979,776
| 10,240,000
| 6,144
| 64
| 80
| 200,064
|
Language Model
|
['RLHF', 'Merged']
|
['text-generation', 'question-answering', 'translation', 'summarization', 'code-generation', 'reasoning', 'conversation']
|
['English', 'Chinese', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['Production', 'Education', 'Creative Writing', 'Business']
|
{}
| 66
|
Medium
| 0.66
|
2025-10-29T02:30:25.189902
|
pipeline_tag: text-generation license: apache-2.0 library_name: transformers tags: - vllm <div align="center"> <svg width="60%" height="auto" viewBox="0 0 144 48" fill="none" xmlns="http://www.w3.org/...
|
['Function Calling', 'RAG Support', 'Long Context', 'Fast Inference', 'Memory Efficient', 'Multi-turn', 'Safety Aligned']
|
Qwen/Qwen3-30B-A3B-Instruct-2507
|
Qwen3-30B-A3B-Instruct-2507
|
Qwen
|
2025-07-28T07:31:27+00:00
| 1,398,323
| 634
|
transformers
|
['transformers', 'safetensors', 'qwen3_moe', 'text-generation', 'conversational', 'arxiv:2402.17463', 'arxiv:2407.02490', 'arxiv:2501.15383', 'arxiv:2404.06654', 'arxiv:2505.09388', 'license:apache-2.0', 'autotrain_compatible', 'endpoints_compatible', 'region:us']
| 8
| 910
|
Qwen3MoeForCausalLM
|
qwen3_moe
| 2,727,084,032
| 262,144
| 2,048
| 32
| 48
| 151,936
|
Language Model
|
['Specialized']
|
['text-generation', 'question-answering', 'code-generation', 'reasoning', 'conversation']
|
['English', 'Spanish', 'French', 'German', 'Russian', 'Arabic', 'Multilingual']
|
['Production', 'Creative Writing']
|
{}
| 96
|
Easy
| 0.96
|
2025-10-29T02:30:25.439591
|
library_name: transformers license: apache-2.0 license_link: https://huggingface.co/Qwen/Qwen3-30B-A3B-Instruct-2507/blob/main/LICENSE pipeline_tag: text-generation <a href="https://chat.qwen.ai/?mode...
|
['Function Calling', 'RAG Support', 'Long Context', 'Fast Inference', 'Safety Aligned']
|
unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF
|
Qwen3-Coder-30B-A3B-Instruct-GGUF
|
unsloth
|
2025-07-31T10:27:38+00:00
| 126,817
| 298
|
transformers
|
['transformers', 'gguf', 'unsloth', 'qwen3', 'qwen', 'text-generation', 'arxiv:2505.09388', 'base_model:Qwen/Qwen3-Coder-30B-A3B-Instruct', 'base_model:quantized:Qwen/Qwen3-Coder-30B-A3B-Instruct', 'license:apache-2.0', 'endpoints_compatible', 'region:us', 'imatrix', 'conversational']
| 8
| 911
|
Unknown
|
unknown
| null | null | null | null | null | null |
Language Model
|
[]
|
['text-generation', 'question-answering', 'code-generation', 'conversation']
|
['English', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['Research']
|
{}
| 48
|
Hard
| 0.48
|
2025-10-29T02:30:28.754629
|
tags: - unsloth - qwen3 - qwen base_model: - Qwen/Qwen3-Coder-30B-A3B-Instruct library_name: transformers license: apache-2.0 license_link: https://huggingface.co/Qwen/Qwen3-Coder-30B-A3B-Instruct/blo...
|
['Fast Inference', 'Memory Efficient', 'Multi-turn', 'Safety Aligned']
|
nvidia/NVIDIA-Nemotron-Nano-12B-v2
|
NVIDIA-Nemotron-Nano-12B-v2
|
nvidia
|
2025-08-21T01:31:50+00:00
| 83,318
| 111
|
transformers
|
['transformers', 'safetensors', 'nvidia', 'pytorch', 'text-generation', 'conversational', 'en', 'es', 'fr', 'de', 'it', 'ja', 'dataset:nvidia/Nemotron-Post-Training-Dataset-v1', 'dataset:nvidia/Nemotron-Post-Training-Dataset-v2', 'dataset:nvidia/Nemotron-Pretraining-Dataset-sample', 'dataset:nvidia/Nemotron-CC-v2', 'dataset:nvidia/Nemotron-CC-Math-v1', 'dataset:nvidia/Nemotron-Pretraining-SFT-v1', 'arxiv:2504.03624', 'arxiv:2508.14444', 'arxiv:2412.02595', 'base_model:nvidia/NVIDIA-Nemotron-Nano-12B-v2-Base', 'base_model:finetune:nvidia/NVIDIA-Nemotron-Nano-12B-v2-Base', 'license:other', 'endpoints_compatible', 'region:us']
| 8
| 912
|
NemotronHForCausalLM
|
nemotron_h
| 20,174,602,240
| 131,072
| 5,120
| 40
| 62
| 131,072
|
Language Model
|
['Fine-tuned', 'Quantized', 'Merged', 'Specialized']
|
['text-generation', 'question-answering', 'translation', 'summarization', 'code-generation', 'reasoning', 'conversation']
|
['English', 'Chinese', 'Korean', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic', 'Multilingual']
|
['Research', 'Production', 'Education', 'Business', 'Legal', 'Finance']
|
{}
| 61
|
Hard
| 0.61
|
2025-10-29T02:30:29.034006
|
license: other license_name: nvidia-open-model-license license_link: >- https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/ pipeline_tag: text-generation datasets: -...
|
['RAG Support', 'Long Context', 'Fast Inference', 'Memory Efficient', 'Multi-turn', 'Safety Aligned']
|
deepseek-ai/DeepSeek-V3.1
|
DeepSeek-V3.1
|
deepseek-ai
|
2025-08-21T02:37:52+00:00
| 577,824
| 794
|
transformers
|
['transformers', 'safetensors', 'deepseek_v3', 'text-generation', 'conversational', 'custom_code', 'arxiv:2412.19437', 'base_model:deepseek-ai/DeepSeek-V3.1-Base', 'base_model:quantized:deepseek-ai/DeepSeek-V3.1-Base', 'license:mit', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'fp8', 'region:us']
| 8
| 913
|
DeepseekV3ForCausalLM
|
deepseek_v3
| 38,537,003,008
| 163,840
| 7,168
| 128
| 61
| 129,280
|
Chat/Instruct
|
[]
|
['text-generation', 'question-answering', 'conversation']
|
['English', 'Chinese', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic', 'Multilingual']
|
['Business']
|
{}
| 61
|
Hard
| 0.61
|
2025-10-29T02:30:29.230261
|
license: mit library_name: transformers base_model: - deepseek-ai/DeepSeek-V3.1-Base <!-- markdownlint-disable first-line-h1 --> <!-- markdownlint-disable html --> <!-- markdownlint-disable no-duplica...
|
['Function Calling', 'RAG Support', 'Long Context', 'Multi-turn', 'Safety Aligned']
|
Qwen/Qwen3-Next-80B-A3B-Instruct
|
Qwen3-Next-80B-A3B-Instruct
|
Qwen
|
2025-09-09T15:40:56+00:00
| 2,973,054
| 838
|
transformers
|
['transformers', 'safetensors', 'qwen3_next', 'text-generation', 'conversational', 'arxiv:2309.00071', 'arxiv:2404.06654', 'arxiv:2505.09388', 'arxiv:2501.15383', 'license:apache-2.0', 'autotrain_compatible', 'endpoints_compatible', 'region:us']
| 8
| 914
|
Qwen3NextForCausalLM
|
qwen3_next
| 2,727,084,032
| 262,144
| 2,048
| 16
| 48
| 151,936
|
Language Model
|
['Merged']
|
['text-generation', 'question-answering', 'code-generation', 'reasoning', 'conversation']
|
['English', 'Chinese', 'Spanish', 'French', 'German', 'Russian', 'Arabic', 'Multilingual']
|
['Research', 'Production', 'Creative Writing']
|
{}
| 86
|
Easy
| 0.86
|
2025-10-29T02:30:29.755724
|
library_name: transformers license: apache-2.0 license_link: https://huggingface.co/Qwen/Qwen3-Next-80B-A3B-Instruct/blob/main/LICENSE pipeline_tag: text-generation <a href="https://chat.qwen.ai/" tar...
|
['Long Context', 'Fast Inference', 'Multi-turn', 'Safety Aligned']
|
unsloth/GLM-4.6-GGUF
|
GLM-4.6-GGUF
|
unsloth
|
2025-09-30T21:59:12+00:00
| 100,999
| 113
|
transformers
|
['transformers', 'gguf', 'unsloth', 'text-generation', 'en', 'zh', 'arxiv:2508.06471', 'base_model:zai-org/GLM-4.6', 'base_model:quantized:zai-org/GLM-4.6', 'license:mit', 'endpoints_compatible', 'region:us', 'imatrix', 'conversational']
| 8
| 915
|
Unknown
|
unknown
| null | null | null | null | null | null |
Language Model
|
[]
|
['text-generation', 'code-generation', 'reasoning', 'conversation']
|
['English', 'Chinese', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['Creative Writing']
|
{}
| 58
|
Hard
| 0.58
|
2025-10-29T02:30:31.040128
|
tags: - unsloth base_model: - zai-org/GLM-4.6 language: - en - zh library_name: transformers license: mit pipeline_tag: text-generation > [!NOTE] > Please use latest version of `llama.cpp`. This GGUF...
|
['Function Calling', 'Long Context']
|
TinyLlama/TinyLlama-1.1B-Chat-v1.0
|
TinyLlama-1.1B-Chat-v1.0
|
TinyLlama
|
2023-12-30T06:27:30+00:00
| 4,382,624
| 1,436
|
transformers
|
['transformers', 'safetensors', 'llama', 'text-generation', 'conversational', 'en', 'dataset:cerebras/SlimPajama-627B', 'dataset:bigcode/starcoderdata', 'dataset:HuggingFaceH4/ultrachat_200k', 'dataset:HuggingFaceH4/ultrafeedback_binarized', 'license:apache-2.0', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'region:us']
| 7
| 916
|
LlamaForCausalLM
|
llama
| 1,172,832,256
| 2,048
| 2,048
| 32
| 22
| 32,000
|
Language Model
|
['Fine-tuned']
|
['text-generation', 'conversation']
|
['English', 'Chinese', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['General Purpose']
|
{}
| 86
|
Easy
| 0.86
|
2025-10-29T02:30:31.226866
|
license: apache-2.0 datasets: - cerebras/SlimPajama-627B - bigcode/starcoderdata - HuggingFaceH4/ultrachat_200k - HuggingFaceH4/ultrafeedback_binarized language: - en widget: - example_title: Fibonacc...
|
['Long Context', 'Multi-turn', 'Safety Aligned']
|
meta-llama/Llama-3.3-70B-Instruct
|
Llama-3.3-70B-Instruct
|
meta-llama
|
2024-11-26T16:08:47+00:00
| 801,225
| 2,545
|
transformers
|
['transformers', 'safetensors', 'llama', 'text-generation', 'facebook', 'meta', 'pytorch', 'llama-3', 'conversational', 'en', 'fr', 'it', 'pt', 'hi', 'es', 'th', 'de', 'arxiv:2204.05149', 'base_model:meta-llama/Llama-3.1-70B', 'base_model:finetune:meta-llama/Llama-3.1-70B', 'license:llama3.3', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'region:us']
| 7
| 917
|
Unknown
|
unknown
| null | null | null | null | null | null |
General Language Model
|
[]
|
['text-generation']
|
['English']
|
['General Purpose']
|
{}
| 40
|
Critical
| 0.4
|
2025-10-29T02:30:32.499518
|
No README available
|
[]
|
AlicanKiraz0/Cybersecurity-BaronLLM_Offensive_Security_LLM_Q6_K_GGUF
|
Cybersecurity-BaronLLM_Offensive_Security_LLM_Q6_K_GGUF
|
AlicanKiraz0
|
2025-01-21T03:41:56+00:00
| 692
| 107
|
transformers
|
['transformers', 'gguf', 'llama-cpp', 'gguf-my-repo', 'text-generation', 'en', 'base_model:meta-llama/Llama-3.1-8B-Instruct', 'base_model:quantized:meta-llama/Llama-3.1-8B-Instruct', 'license:mit', 'endpoints_compatible', 'region:us', 'conversational']
| 7
| 918
|
Unknown
|
unknown
| null | null | null | null | null | null |
General Language Model
|
[]
|
['text-generation']
|
['English']
|
['General Purpose']
|
{}
| 40
|
Critical
| 0.4
|
2025-10-29T02:30:33.822071
|
No README available
|
[]
|
google/gemma-3-1b-it
|
gemma-3-1b-it
|
google
|
2025-03-10T12:09:00+00:00
| 4,106,973
| 676
|
transformers
|
['transformers', 'safetensors', 'gemma3_text', 'text-generation', 'conversational', 'arxiv:1905.07830', 'arxiv:1905.10044', 'arxiv:1911.11641', 'arxiv:1904.09728', 'arxiv:1705.03551', 'arxiv:1911.01547', 'arxiv:1907.10641', 'arxiv:1903.00161', 'arxiv:2009.03300', 'arxiv:2304.06364', 'arxiv:2103.03874', 'arxiv:2110.14168', 'arxiv:2311.12022', 'arxiv:2108.07732', 'arxiv:2107.03374', 'arxiv:2210.03057', 'arxiv:2106.03193', 'arxiv:1910.11856', 'arxiv:2502.12404', 'arxiv:2502.21228', 'arxiv:2404.16816', 'arxiv:2104.12756', 'arxiv:2311.16502', 'arxiv:2203.10244', 'arxiv:2404.12390', 'arxiv:1810.12440', 'arxiv:1908.02660', 'arxiv:2312.11805', 'base_model:google/gemma-3-1b-pt', 'base_model:finetune:google/gemma-3-1b-pt', 'license:gemma', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'region:us']
| 7
| 919
|
Unknown
|
unknown
| null | null | null | null | null | null |
General Language Model
|
[]
|
['text-generation']
|
['English']
|
['General Purpose']
|
{}
| 40
|
Critical
| 0.4
|
2025-10-29T02:30:35.139486
|
No README available
|
[]
|
nvidia/Nemotron-H-4B-Instruct-128K
|
Nemotron-H-4B-Instruct-128K
|
nvidia
|
2025-04-15T19:24:02+00:00
| 1,154
| 7
|
transformers
|
['transformers', 'safetensors', 'nvidia', 'pytorch', 'text-generation', 'conversational', 'en', 'arxiv:2504.11409', 'base_model:nvidia/Nemotron-H-4B-Base-8K', 'base_model:finetune:nvidia/Nemotron-H-4B-Base-8K', 'license:other', 'endpoints_compatible', 'region:us']
| 7
| 920
|
NemotronHForCausalLM
|
nemotron_h
| 6,291,456,000
| 131,072
| 3,072
| 32
| 52
| 131,072
|
Language Model
|
['Merged']
|
['text-generation', 'question-answering', 'code-generation', 'reasoning', 'conversation']
|
['English', 'Chinese', 'Korean', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['Research', 'Production', 'Business']
|
{'accuracy': 0.0}
| 86
|
Easy
| 0.86
|
2025-10-29T02:30:35.366830
|
library_name: transformers license_name: nvidia-internal-scientific-research-and-development-model-license license_link: >- https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-internal-...
|
['RAG Support', 'Long Context', 'Fast Inference', 'Memory Efficient', 'Multi-turn', 'Safety Aligned']
|
zai-org/GLM-4.5
|
GLM-4.5
|
zai-org
|
2025-07-20T03:25:36+00:00
| 21,056
| 1,367
|
transformers
|
['transformers', 'safetensors', 'glm4_moe', 'text-generation', 'conversational', 'en', 'zh', 'arxiv:2508.06471', 'license:mit', 'autotrain_compatible', 'endpoints_compatible', 'region:us']
| 7
| 921
|
Glm4MoeForCausalLM
|
glm4_moe
| 29,716,643,840
| 131,072
| 5,120
| 96
| 92
| 151,552
|
Language Model
|
['LoRA']
|
['text-generation', 'code-generation', 'reasoning', 'conversation']
|
['English', 'Chinese', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['Business']
|
{}
| 58
|
Hard
| 0.58
|
2025-10-29T02:30:37.982999
|
language: - en - zh library_name: transformers license: mit pipeline_tag: text-generation <div align="center"> <img src=https://raw.githubusercontent.com/zai-org/GLM-4.5/refs/heads/main/resources/logo...
|
['Long Context', 'Fast Inference']
|
Qwen/Qwen3-30B-A3B-Thinking-2507
|
Qwen3-30B-A3B-Thinking-2507
|
Qwen
|
2025-07-29T11:05:11+00:00
| 107,349
| 307
|
transformers
|
['transformers', 'safetensors', 'qwen3_moe', 'text-generation', 'conversational', 'arxiv:2402.17463', 'arxiv:2407.02490', 'arxiv:2501.15383', 'arxiv:2404.06654', 'arxiv:2505.09388', 'license:apache-2.0', 'autotrain_compatible', 'endpoints_compatible', 'region:us']
| 7
| 922
|
Qwen3MoeForCausalLM
|
qwen3_moe
| 2,727,084,032
| 262,144
| 2,048
| 32
| 48
| 151,936
|
Language Model
|
['Specialized']
|
['text-generation', 'question-answering', 'code-generation', 'reasoning', 'conversation']
|
['English', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic', 'Multilingual']
|
['Research', 'Production', 'Creative Writing']
|
{}
| 86
|
Easy
| 0.86
|
2025-10-29T02:30:38.254473
|
library_name: transformers license: apache-2.0 license_link: https://huggingface.co/Qwen/Qwen3-30B-A3B-Thinking-2507/blob/main/LICENSE pipeline_tag: text-generation <a href="https://chat.qwen.ai/" tar...
|
['RAG Support', 'Long Context', 'Fast Inference', 'Multi-turn', 'Safety Aligned']
|
nvidia/NVIDIA-Nemotron-Nano-9B-v2
|
NVIDIA-Nemotron-Nano-9B-v2
|
nvidia
|
2025-08-12T22:43:32+00:00
| 235,449
| 415
|
transformers
|
['transformers', 'safetensors', 'nvidia', 'pytorch', 'text-generation', 'conversational', 'en', 'es', 'fr', 'de', 'it', 'ja', 'dataset:nvidia/Nemotron-Post-Training-Dataset-v1', 'dataset:nvidia/Nemotron-Post-Training-Dataset-v2', 'dataset:nvidia/Nemotron-Pretraining-Dataset-sample', 'dataset:nvidia/Nemotron-CC-v2', 'dataset:nvidia/Nemotron-CC-Math-v1', 'dataset:nvidia/Nemotron-Pretraining-SFT-v1', 'arxiv:2504.03624', 'arxiv:2508.14444', 'arxiv:2412.02595', 'base_model:nvidia/NVIDIA-Nemotron-Nano-12B-v2', 'base_model:finetune:nvidia/NVIDIA-Nemotron-Nano-12B-v2', 'license:other', 'endpoints_compatible', 'region:us']
| 7
| 923
|
NemotronHForCausalLM
|
nemotron_h
| 14,074,511,360
| 131,072
| 4,480
| 40
| 56
| 131,072
|
Language Model
|
['Quantized', 'Merged', 'Specialized']
|
['text-generation', 'question-answering', 'translation', 'summarization', 'code-generation', 'reasoning', 'conversation']
|
['English', 'Chinese', 'Korean', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic', 'Multilingual']
|
['Research', 'Production', 'Education', 'Business', 'Legal', 'Finance']
|
{}
| 71
|
Medium
| 0.71
|
2025-10-29T02:30:38.598387
|
license: other license_name: nvidia-open-model-license license_link: >- https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/ pipeline_tag: text-generation datasets: -...
|
['RAG Support', 'Long Context', 'Fast Inference', 'Memory Efficient', 'Multi-turn', 'Safety Aligned']
|
moondream/moondream3-preview
|
moondream3-preview
|
moondream
|
2025-09-11T19:48:53+00:00
| 27,812
| 459
|
transformers
|
['transformers', 'safetensors', 'moondream3', 'text-generation', 'image-text-to-text', 'custom_code', 'doi:10.57967/hf/6761', 'license:other', 'autotrain_compatible', 'region:us']
| 7
| 924
|
Unknown
|
unknown
| null | null | null | null | null | null |
General Language Model
|
[]
|
['text-generation']
|
['English']
|
['General Purpose']
|
{}
| 40
|
Critical
| 0.4
|
2025-10-29T02:30:39.870910
|
No README available
|
[]
|
FractalAIResearch/Fathom-Search-4B
|
Fathom-Search-4B
|
FractalAIResearch
|
2025-09-24T11:14:33+00:00
| 2,034
| 121
|
transformers
|
['transformers', 'safetensors', 'qwen3', 'text-generation', 'conversational', 'arxiv:2509.24107', 'base_model:Qwen/Qwen3-4B', 'base_model:finetune:Qwen/Qwen3-4B', 'license:mit', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'region:us']
| 7
| 925
|
Qwen3ForCausalLM
|
qwen3
| 3,220,111,360
| 40,960
| 2,560
| 32
| 36
| 151,936
|
Language Model
|
['RLHF', 'LoRA', 'Specialized']
|
['text-generation', 'question-answering', 'summarization', 'conversation']
|
['English', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['Research', 'Education']
|
{}
| 88
|
Easy
| 0.88
|
2025-10-29T02:30:40.148453
|
base_model: - Qwen/Qwen3-4B library_name: transformers license: mit pipeline_tag: text-generation This model was presented in the paper [Fathom-DeepResearch: Unlocking Long Horizon Information Retriev...
|
['Function Calling', 'RAG Support', 'Long Context', 'Fast Inference', 'Memory Efficient', 'Multi-turn']
|
zai-org/GLM-4.6-FP8
|
GLM-4.6-FP8
|
zai-org
|
2025-09-29T07:52:20+00:00
| 557,146
| 73
|
transformers
|
['transformers', 'safetensors', 'glm4_moe', 'text-generation', 'conversational', 'en', 'zh', 'arxiv:2508.06471', 'license:mit', 'autotrain_compatible', 'endpoints_compatible', 'compressed-tensors', 'region:us']
| 7
| 926
|
Glm4MoeForCausalLM
|
glm4_moe
| 29,716,643,840
| 202,752
| 5,120
| 96
| 92
| 151,552
|
Language Model
|
[]
|
['text-generation', 'code-generation', 'reasoning', 'conversation']
|
['English', 'Chinese', 'Spanish', 'French', 'German', 'Arabic']
|
['Creative Writing']
|
{}
| 63
|
Hard
| 0.63
|
2025-10-29T02:30:40.409282
|
language: - en - zh library_name: transformers license: mit pipeline_tag: text-generation <div align="center"> <img src=https://raw.githubusercontent.com/zai-org/GLM-4.5/refs/heads/main/resources/logo...
|
['Function Calling', 'Long Context']
|
cerebras/Qwen3-Coder-REAP-246B-A35B-FP8
|
Qwen3-Coder-REAP-246B-A35B-FP8
|
cerebras
|
2025-10-14T06:57:34+00:00
| 335
| 15
|
transformers
|
['transformers', 'safetensors', 'qwen3_moe', 'text-generation', 'qwen-coder', 'MOE', 'pruning', 'compression', 'conversational', 'en', 'arxiv:2510.13999', 'base_model:Qwen/Qwen3-Coder-480B-A35B-Instruct-FP8', 'base_model:quantized:Qwen/Qwen3-Coder-480B-A35B-Instruct-FP8', 'license:apache-2.0', 'autotrain_compatible', 'endpoints_compatible', 'fp8', 'region:us']
| 7
| 927
|
Qwen3MoeForCausalLM
|
qwen3_moe
| 29,018,554,368
| 262,144
| 6,144
| 96
| 62
| 151,936
|
Language Model
|
['Specialized']
|
['text-generation', 'question-answering', 'code-generation', 'reasoning']
|
['English', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['Research', 'Production', 'Creative Writing']
|
{}
| 60
|
Hard
| 0.6
|
2025-10-29T02:30:40.614883
|
language: - en library_name: transformers tags: - qwen-coder - MOE - pruning - compression license: apache-2.0 name: cerebras/Qwen3-Coder-REAP-246B-A35B-FP8 description: > This model was obtained by u...
|
['Function Calling', 'Fast Inference', 'Memory Efficient', 'Multi-turn']
|
cerebras/GLM-4.6-REAP-268B-A32B
|
GLM-4.6-REAP-268B-A32B
|
cerebras
|
2025-10-24T02:49:48+00:00
| 57
| 7
|
transformers
|
['transformers', 'safetensors', 'glm4_moe', 'text-generation', 'glm', 'MOE', 'pruning', 'compression', 'conversational', 'en', 'arxiv:2510.13999', 'base_model:zai-org/GLM-4.6', 'base_model:finetune:zai-org/GLM-4.6', 'license:mit', 'autotrain_compatible', 'endpoints_compatible', 'region:us']
| 7
| 928
|
Glm4MoeForCausalLM
|
glm4_moe
| 29,716,643,840
| 202,752
| 5,120
| 96
| 92
| 151,552
|
Language Model
|
['Specialized']
|
['text-generation', 'question-answering', 'code-generation', 'reasoning']
|
['English', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['Research', 'Production', 'Creative Writing']
|
{}
| 60
|
Hard
| 0.6
|
2025-10-29T02:30:40.909190
|
language: - en library_name: transformers tags: - glm - MOE - pruning - compression license: mit name: cerebras/GLM-4.6-REAP-268B-A32B description: > This model was obtained by uniformly pruning 25% o...
|
['Function Calling', 'Fast Inference', 'Memory Efficient', 'Multi-turn']
|
google/gemma-2b-it
|
gemma-2b-it
|
google
|
2024-02-08T13:23:59+00:00
| 68,294
| 812
|
transformers
|
['transformers', 'safetensors', 'gguf', 'gemma', 'text-generation', 'conversational', 'arxiv:2312.11805', 'arxiv:2009.03300', 'arxiv:1905.07830', 'arxiv:1911.11641', 'arxiv:1904.09728', 'arxiv:1905.10044', 'arxiv:1907.10641', 'arxiv:1811.00937', 'arxiv:1809.02789', 'arxiv:1911.01547', 'arxiv:1705.03551', 'arxiv:2107.03374', 'arxiv:2108.07732', 'arxiv:2110.14168', 'arxiv:2304.06364', 'arxiv:2206.04615', 'arxiv:1804.06876', 'arxiv:2110.08193', 'arxiv:2009.11462', 'arxiv:2101.11718', 'arxiv:1804.09301', 'arxiv:2109.07958', 'arxiv:2203.09509', 'license:gemma', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'region:us']
| 6
| 929
|
Unknown
|
unknown
| null | null | null | null | null | null |
General Language Model
|
[]
|
['text-generation']
|
['English']
|
['General Purpose']
|
{}
| 40
|
Critical
| 0.4
|
2025-10-29T02:30:42.181680
|
No README available
|
[]
|
meta-llama/Meta-Llama-3-8B
|
Meta-Llama-3-8B
|
meta-llama
|
2024-04-17T09:35:16+00:00
| 1,578,691
| 6,353
|
transformers
|
['transformers', 'safetensors', 'llama', 'text-generation', 'facebook', 'meta', 'pytorch', 'llama-3', 'en', 'license:llama3', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'region:us']
| 6
| 930
|
Unknown
|
unknown
| null | null | null | null | null | null |
General Language Model
|
[]
|
['text-generation']
|
['English']
|
['General Purpose']
|
{}
| 40
|
Critical
| 0.4
|
2025-10-29T02:30:43.449310
|
No README available
|
[]
|
deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct
|
DeepSeek-Coder-V2-Lite-Instruct
|
deepseek-ai
|
2024-06-14T06:23:33+00:00
| 278,216
| 493
|
transformers
|
['transformers', 'safetensors', 'deepseek_v2', 'text-generation', 'conversational', 'custom_code', 'arxiv:2401.06066', 'license:other', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'region:us']
| 6
| 931
|
DeepseekV2ForCausalLM
|
deepseek_v2
| 1,568,669,696
| 163,840
| 2,048
| 16
| 27
| 102,400
|
Language Model
|
['Merged']
|
['text-generation', 'question-answering', 'code-generation', 'reasoning', 'conversation']
|
['English', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['Business']
|
{}
| 78
|
Medium
| 0.78
|
2025-10-29T02:30:45.808983
|
license: other license_name: deepseek-license license_link: LICENSE <!-- markdownlint-disable first-line-h1 --> <!-- markdownlint-disable html --> <!-- markdownlint-disable no-duplicate-header --> <di...
|
['Long Context']
|
microsoft/Phi-4-mini-instruct
|
Phi-4-mini-instruct
|
microsoft
|
2025-02-19T01:00:58+00:00
| 230,826
| 618
|
transformers
|
['transformers', 'safetensors', 'phi3', 'text-generation', 'nlp', 'code', 'conversational', 'custom_code', 'multilingual', 'ar', 'zh', 'cs', 'da', 'nl', 'en', 'fi', 'fr', 'de', 'he', 'hu', 'it', 'ja', 'ko', 'no', 'pl', 'pt', 'ru', 'es', 'sv', 'th', 'tr', 'uk', 'arxiv:2503.01743', 'license:mit', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'region:us']
| 6
| 932
|
Phi3ForCausalLM
|
phi3
| 4,238,475,264
| 131,072
| 3,072
| 24
| 32
| 200,064
|
Language Model
|
['Specialized']
|
['text-generation', 'question-answering', 'summarization', 'code-generation', 'reasoning', 'conversation']
|
['English', 'Chinese', 'Korean', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic', 'Multilingual']
|
['Research', 'Production', 'Education', 'Business', 'Healthcare', 'Legal']
|
{}
| 86
|
Easy
| 0.86
|
2025-10-29T02:30:46.165385
|
language: - multilingual - ar - zh - cs - da - nl - en - fi - fr - de - he - hu - it - ja - ko - 'no' - pl - pt - ru - es - sv - th - tr - uk library_name: transformers license: mit license_link: http...
|
['Function Calling', 'RAG Support', 'Long Context', 'Multi-turn', 'Safety Aligned']
|
fdtn-ai/Foundation-Sec-8B
|
Foundation-Sec-8B
|
fdtn-ai
|
2025-04-26T17:20:37+00:00
| 9,175
| 259
|
transformers
|
['transformers', 'safetensors', 'llama', 'text-generation', 'security', 'en', 'arxiv:2504.21039', 'base_model:meta-llama/Llama-3.1-8B', 'base_model:finetune:meta-llama/Llama-3.1-8B', 'license:apache-2.0', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'region:us']
| 6
| 933
|
LlamaForCausalLM
|
llama
| 6,968,311,808
| 131,072
| 4,096
| 32
| 32
| 128,384
|
Language Model
|
['Specialized']
|
['text-generation', 'question-answering', 'text-classification', 'summarization', 'reasoning']
|
['English', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['Research', 'Production', 'Healthcare', 'Legal']
|
{}
| 78
|
Medium
| 0.78
|
2025-10-29T02:30:46.421312
|
base_model: - meta-llama/Llama-3.1-8B language: - en library_name: transformers license: apache-2.0 pipeline_tag: text-generation tags: - security Foundation-Sec-8B (Llama-3.1-FoundationAI-SecurityLLM...
|
['RAG Support', 'Fast Inference', 'Memory Efficient', 'Safety Aligned']
|
Qwen/Qwen3-4B
|
Qwen3-4B
|
Qwen
|
2025-04-27T03:41:29+00:00
| 1,310,379
| 425
|
transformers
|
['transformers', 'safetensors', 'qwen3', 'text-generation', 'conversational', 'arxiv:2309.00071', 'arxiv:2505.09388', 'base_model:Qwen/Qwen3-4B-Base', 'base_model:finetune:Qwen/Qwen3-4B-Base', 'license:apache-2.0', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'region:us']
| 6
| 934
|
Qwen3ForCausalLM
|
qwen3
| 3,220,111,360
| 40,960
| 2,560
| 32
| 36
| 151,936
|
Language Model
|
[]
|
['text-generation', 'question-answering', 'translation', 'code-generation', 'reasoning', 'conversation']
|
['English', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic', 'Multilingual']
|
['Production', 'Creative Writing']
|
{}
| 81
|
Medium
| 0.81
|
2025-10-29T02:30:46.688150
|
library_name: transformers license: apache-2.0 license_link: https://huggingface.co/Qwen/Qwen3-4B/blob/main/LICENSE pipeline_tag: text-generation base_model: - Qwen/Qwen3-4B-Base <a href="https://chat...
|
['RAG Support', 'Long Context', 'Fast Inference', 'Multi-turn', 'Safety Aligned']
|
Qwen/Qwen3-30B-A3B
|
Qwen3-30B-A3B
|
Qwen
|
2025-04-27T03:43:05+00:00
| 446,084
| 805
|
transformers
|
['transformers', 'safetensors', 'qwen3_moe', 'text-generation', 'conversational', 'arxiv:2309.00071', 'arxiv:2505.09388', 'base_model:Qwen/Qwen3-30B-A3B-Base', 'base_model:finetune:Qwen/Qwen3-30B-A3B-Base', 'license:apache-2.0', 'autotrain_compatible', 'endpoints_compatible', 'region:us']
| 6
| 935
|
Qwen3MoeForCausalLM
|
qwen3_moe
| 2,727,084,032
| 40,960
| 2,048
| 32
| 48
| 151,936
|
Language Model
|
[]
|
['text-generation', 'question-answering', 'translation', 'code-generation', 'reasoning', 'conversation']
|
['English', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic', 'Multilingual']
|
['Production', 'Creative Writing']
|
{}
| 86
|
Easy
| 0.86
|
2025-10-29T02:30:47.052263
|
library_name: transformers license: apache-2.0 license_link: https://huggingface.co/Qwen/Qwen3-30B-A3B/blob/main/LICENSE pipeline_tag: text-generation base_model: - Qwen/Qwen3-30B-A3B-Base <a href="ht...
|
['RAG Support', 'Long Context', 'Fast Inference', 'Multi-turn', 'Safety Aligned']
|
Goekdeniz-Guelmez/Josiefied-Qwen3-8B-abliterated-v1
|
Josiefied-Qwen3-8B-abliterated-v1
|
Goekdeniz-Guelmez
|
2025-04-29T19:15:21+00:00
| 1,065
| 165
|
transformers
|
['transformers', 'safetensors', 'qwen3', 'text-generation', 'chat', 'conversational', 'base_model:Qwen/Qwen3-8B', 'base_model:finetune:Qwen/Qwen3-8B', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'region:us']
| 6
| 936
|
Qwen3ForCausalLM
|
qwen3
| 7,870,087,168
| 40,960
| 4,096
| 32
| 36
| 151,936
|
Language Model
|
['Fine-tuned']
|
['text-generation', 'question-answering', 'code-generation', 'conversation']
|
['English', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['General Purpose']
|
{}
| 81
|
Medium
| 0.81
|
2025-10-29T02:30:47.309241
|
tags: - chat base_model: Qwen/Qwen3-8B pipeline_tag: text-generation library_name: transformers  The **JOSIEFIED** model family represents a series of highly advanced langua...
|
['Long Context', 'Fast Inference', 'Memory Efficient', 'Multi-turn', 'Safety Aligned']
|
huihui-ai/Huihui-Qwen3-4B-Instruct-2507-abliterated
|
Huihui-Qwen3-4B-Instruct-2507-abliterated
|
huihui-ai
|
2025-08-07T12:05:04+00:00
| 1,254
| 31
|
transformers
|
['transformers', 'safetensors', 'qwen3', 'text-generation', 'abliterated', 'uncensored', 'conversational', 'base_model:Qwen/Qwen3-4B-Instruct-2507', 'base_model:finetune:Qwen/Qwen3-4B-Instruct-2507', 'license:apache-2.0', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'region:us']
| 6
| 937
|
Qwen3ForCausalLM
|
qwen3
| 3,220,111,360
| 262,144
| 2,560
| 32
| 36
| 151,936
|
Language Model
|
['Quantized', 'Specialized']
|
['text-generation', 'conversation']
|
['English', 'Korean', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['Research', 'Production', 'Creative Writing', 'Business', 'Legal']
|
{}
| 73
|
Medium
| 0.73
|
2025-10-29T02:30:47.570025
|
license: apache-2.0 license_link: https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507/blob/main/LICENSE base_model: - Qwen/Qwen3-4B-Instruct-2507 pipeline_tag: text-generation library_name: transformer...
|
['RAG Support', 'Fast Inference', 'Multi-turn', 'Safety Aligned']
|
meituan-longcat/LongCat-Flash-Chat
|
LongCat-Flash-Chat
|
meituan-longcat
|
2025-08-29T07:39:50+00:00
| 22,527
| 496
|
LongCat-Flash-Chat
|
['LongCat-Flash-Chat', 'safetensors', 'text-generation', 'transformers', 'conversational', 'custom_code', 'arxiv:2509.01322', 'license:mit', 'region:us']
| 6
| 938
|
LongcatFlashForCausalLM
|
unknown
| null | 131,072
| 6,144
| 64
| null | 131,072
|
Language Model
|
['Fine-tuned', 'Merged', 'Specialized']
|
['text-generation', 'question-answering', 'code-generation', 'reasoning', 'conversation']
|
['English', 'Chinese', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['Production', 'Legal']
|
{}
| 81
|
Medium
| 0.81
|
2025-10-29T02:30:47.862574
|
license: mit library_name: LongCat-Flash-Chat pipeline_tag: text-generation tags: - transformers <div align="center"> <img src="https://raw.githubusercontent.com/meituan-longcat/LongCat-Flash-Chat/mai...
|
['Function Calling', 'RAG Support', 'Long Context', 'Fast Inference', 'Memory Efficient', 'Multi-turn', 'Safety Aligned']
|
nineninesix/kani-tts-370m
|
kani-tts-370m
|
nineninesix
|
2025-09-30T07:31:22+00:00
| 8,129
| 127
|
transformers
|
['transformers', 'safetensors', 'lfm2', 'text-generation', 'text-to-speech', 'en', 'de', 'ar', 'zh', 'es', 'ko', 'arxiv:2505.20506', 'base_model:nineninesix/kani-tts-450m-0.2-pt', 'base_model:finetune:nineninesix/kani-tts-450m-0.2-pt', 'license:apache-2.0', 'autotrain_compatible', 'endpoints_compatible', 'region:us']
| 6
| 939
|
Lfm2ForCausalLM
|
lfm2
| 283,798,528
| 128,000
| 1,024
| 16
| 16
| 80,539
|
Language Model
|
['Fine-tuned', 'Specialized']
|
['conversation']
|
['English', 'Chinese', 'Korean', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic', 'Multilingual']
|
['Research', 'Production', 'Education', 'Legal']
|
{}
| 75
|
Medium
| 0.75
|
2025-10-29T02:30:48.115747
|
license: apache-2.0 language: - en - de - ar - zh - es - ko pipeline_tag: text-to-speech library_name: transformers base_model: - nineninesix/kani-tts-450m-0.2-pt <p> <img src="https://www.nineninesix...
|
['Fast Inference', 'Memory Efficient', 'Multi-turn']
|
KORMo-Team/KORMo-10B-sft
|
KORMo-10B-sft
|
KORMo-Team
|
2025-10-12T12:13:51+00:00
| 2,098
| 101
|
transformers
|
['transformers', 'safetensors', 'kormo', 'text-generation', 'conversational', 'custom_code', 'arxiv:2510.09426', 'license:apache-2.0', 'autotrain_compatible', 'region:us']
| 6
| 940
|
KORMoForCausalLM
|
kormo
| 8,565,817,344
| 131,072
| 4,096
| 32
| 40
| 125,184
|
Language Model
|
['LoRA']
|
['text-generation', 'question-answering', 'reasoning', 'conversation']
|
['English', 'Korean', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['Research', 'Education', 'Healthcare']
|
{}
| 58
|
Hard
| 0.58
|
2025-10-29T02:30:48.368809
|
library_name: transformers license: apache-2.0 <!-- <p align="center"> <img src="https://github.com/MLP-Lab/KORMo-tutorial/blob/main/tutorial/attachment/kormo_logo.png?raw=true" style="width: 100%; ma...
|
['RAG Support', 'Safety Aligned']
|
Vortex5/Crimson-Twilight-12B
|
Crimson-Twilight-12B
|
Vortex5
|
2025-10-25T18:04:25+00:00
| 52
| 6
|
transformers
|
['transformers', 'safetensors', 'mistral', 'text-generation', 'mergekit', 'merge', 'roleplay', 'base_model:Vortex5/Abyssal-Seraph-12B', 'base_model:merge:Vortex5/Abyssal-Seraph-12B', 'base_model:Vortex5/Luminous-Shadow-12B', 'base_model:merge:Vortex5/Luminous-Shadow-12B', 'base_model:Vortex5/Lunar-Abyss-12B', 'base_model:merge:Vortex5/Lunar-Abyss-12B', 'base_model:Vortex5/Moonlit-Shadow-12B', 'base_model:merge:Vortex5/Moonlit-Shadow-12B', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'region:us']
| 6
| 941
|
MistralForCausalLM
|
mistral
| 13,254,016,000
| 131,072
| 5,120
| 32
| 40
| 131,075
|
Code Generation
|
['Merged']
|
['summarization']
|
['English', 'Spanish', 'German', 'Arabic']
|
['Production']
|
{}
| 40
|
Critical
| 0.4
|
2025-10-29T02:30:51.076330
|
base_model: - Vortex5/Abyssal-Seraph-12B - Vortex5/Moonlit-Shadow-12B - Vortex5/Lunar-Abyss-12B - Vortex5/Luminous-Shadow-12B library_name: transformers tags: - mergekit - merge - roleplay <div style=...
|
[]
|
mistralai/Mistral-7B-v0.1
|
Mistral-7B-v0.1
|
mistralai
|
2023-09-20T13:03:50+00:00
| 471,244
| 3,995
|
transformers
|
['transformers', 'pytorch', 'safetensors', 'mistral', 'text-generation', 'pretrained', 'mistral-common', 'en', 'arxiv:2310.06825', 'license:apache-2.0', 'autotrain_compatible', 'text-generation-inference', 'region:us']
| 5
| 942
|
MistralForCausalLM
|
mistral
| 6,573,522,944
| 32,768
| 4,096
| 32
| 32
| 32,000
|
Language Model
|
[]
|
['text-generation']
|
['English', 'Spanish', 'German', 'Arabic']
|
['General Purpose']
|
{}
| 70
|
Medium
| 0.7
|
2025-10-29T02:30:51.429411
|
library_name: transformers language: - en license: apache-2.0 tags: - pretrained - mistral-common inference: false extra_gated_description: >- If you want to learn more about how we process your perso...
|
[]
|
vikhyatk/moondream2
|
moondream2
|
vikhyatk
|
2024-03-04T18:03:06+00:00
| 1,617,138
| 1,322
|
transformers
|
['transformers', 'safetensors', 'moondream1', 'text-generation', 'image-text-to-text', 'custom_code', 'doi:10.57967/hf/6762', 'license:apache-2.0', 'autotrain_compatible', 'endpoints_compatible', 'region:us']
| 5
| 943
|
HfMoondream
|
moondream1
| null | null | null | null | null | null |
Language Model
|
['RLHF']
|
['text-generation', 'question-answering', 'reasoning']
|
['English', 'Spanish', 'French', 'German', 'Russian', 'Arabic', 'Multilingual']
|
['Production', 'Education']
|
{}
| 45
|
Hard
| 0.45
|
2025-10-29T02:30:51.852846
|
license: apache-2.0 pipeline_tag: image-text-to-text new_version: moondream/moondream3-preview ⚠️ This repository contains the latest version of Moondream 2, our previous generation model. The latest ...
|
['Fast Inference']
|
microsoft/Phi-3-mini-4k-instruct
|
Phi-3-mini-4k-instruct
|
microsoft
|
2024-04-22T16:18:17+00:00
| 1,586,120
| 1,316
|
transformers
|
['transformers', 'safetensors', 'phi3', 'text-generation', 'nlp', 'code', 'conversational', 'custom_code', 'en', 'fr', 'license:mit', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'region:us']
| 5
| 944
|
Phi3ForCausalLM
|
phi3
| 3,722,379,264
| 4,096
| 3,072
| 32
| 32
| 32,064
|
Language Model
|
['Fine-tuned', 'Quantized', 'Specialized']
|
['text-generation', 'question-answering', 'summarization', 'code-generation', 'reasoning', 'conversation']
|
['English', 'Spanish', 'French', 'German', 'Russian', 'Arabic', 'Multilingual']
|
['Research', 'Production', 'Education', 'Business', 'Legal']
|
{}
| 81
|
Medium
| 0.81
|
2025-10-29T02:30:52.093479
|
license: mit license_link: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct/resolve/main/LICENSE language: - en - fr pipeline_tag: text-generation tags: - nlp - code inference: parameters: temp...
|
['RAG Support', 'Long Context', 'Fast Inference', 'Memory Efficient', 'Multi-turn', 'Safety Aligned']
|
Sao10K/L3-8B-Stheno-v3.2
|
L3-8B-Stheno-v3.2
|
Sao10K
|
2024-06-05T10:30:57+00:00
| 2,003
| 349
|
transformers
|
['transformers', 'safetensors', 'llama', 'text-generation', 'conversational', 'en', 'dataset:Gryphe/Opus-WritingPrompts', 'dataset:Sao10K/Claude-3-Opus-Instruct-15K', 'dataset:Sao10K/Short-Storygen-v2', 'dataset:Sao10K/c2-Logs-Filtered', 'license:cc-by-nc-4.0', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'region:us']
| 5
| 945
|
LlamaForCausalLM
|
llama
| 6,967,787,520
| 8,192
| 4,096
| 32
| 32
| 128,256
|
Language Model
|
['Merged']
|
['text-generation']
|
['English', 'Korean', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['Creative Writing']
|
{}
| 75
|
Medium
| 0.75
|
2025-10-29T02:30:52.293128
|
license: cc-by-nc-4.0 language: - en datasets: - Gryphe/Opus-WritingPrompts - Sao10K/Claude-3-Opus-Instruct-15K - Sao10K/Short-Storygen-v2 - Sao10K/c2-Logs-Filtered *Just message me on discord if you ...
|
['Fast Inference', 'Multi-turn']
|
Qwen/Qwen2.5-0.5B-Instruct
|
Qwen2.5-0.5B-Instruct
|
Qwen
|
2024-09-16T11:52:46+00:00
| 1,546,378
| 382
|
transformers
|
['transformers', 'safetensors', 'qwen2', 'text-generation', 'chat', 'conversational', 'en', 'arxiv:2407.10671', 'base_model:Qwen/Qwen2.5-0.5B', 'base_model:finetune:Qwen/Qwen2.5-0.5B', 'license:apache-2.0', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'region:us']
| 5
| 946
|
Qwen2ForCausalLM
|
qwen2
| 367,345,664
| 32,768
| 896
| 14
| 24
| 151,936
|
Language Model
|
['Specialized']
|
['text-generation', 'question-answering', 'code-generation', 'conversation']
|
['English', 'Chinese', 'Korean', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic', 'Multilingual']
|
['General Purpose']
|
{}
| 91
|
Easy
| 0.91
|
2025-10-29T02:30:52.476059
|
license: apache-2.0 license_link: https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct/blob/main/LICENSE language: - en pipeline_tag: text-generation base_model: Qwen/Qwen2.5-0.5B tags: - chat library_na...
|
['Long Context', 'Fast Inference', 'Safety Aligned']
|
meta-llama/Llama-3.2-3B
|
Llama-3.2-3B
|
meta-llama
|
2024-09-18T15:23:48+00:00
| 272,782
| 648
|
transformers
|
['transformers', 'safetensors', 'llama', 'text-generation', 'facebook', 'meta', 'pytorch', 'llama-3', 'en', 'de', 'fr', 'it', 'pt', 'hi', 'es', 'th', 'arxiv:2204.05149', 'arxiv:2405.16406', 'license:llama3.2', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'region:us']
| 5
| 947
|
Unknown
|
unknown
| null | null | null | null | null | null |
General Language Model
|
[]
|
['text-generation']
|
['English']
|
['General Purpose']
|
{}
| 40
|
Critical
| 0.4
|
2025-10-29T02:30:53.712020
|
No README available
|
[]
|
Steelskull/L3.3-MS-Nevoria-70b
|
L3.3-MS-Nevoria-70b
|
Steelskull
|
2025-01-14T02:01:02+00:00
| 1,337
| 138
|
transformers
|
['transformers', 'safetensors', 'llama', 'text-generation', 'merge', 'conversational', 'base_model:EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1', 'base_model:merge:EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1', 'base_model:Sao10K/L3.3-70B-Euryale-v2.3', 'base_model:merge:Sao10K/L3.3-70B-Euryale-v2.3', 'base_model:SicariusSicariiStuff/Negative_LLAMA_70B', 'base_model:merge:SicariusSicariiStuff/Negative_LLAMA_70B', 'base_model:TheDrummer/Anubis-70B-v1', 'base_model:merge:TheDrummer/Anubis-70B-v1', 'base_model:nbeerbower/Llama-3.1-Nemotron-lorablated-70B', 'base_model:merge:nbeerbower/Llama-3.1-Nemotron-lorablated-70B', 'license:other', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'region:us']
| 5
| 948
|
LlamaForCausalLM
|
llama
| 65,475,182,592
| 131,072
| 8,192
| 64
| 80
| 128,256
|
Language Model
|
['Quantized', 'LoRA', 'Merged']
|
['question-answering', 'translation', 'summarization', 'code-generation', 'conversation']
|
['English', 'Korean', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['Production', 'Creative Writing', 'Legal']
|
{}
| 45
|
Hard
| 0.45
|
2025-10-29T02:30:55.544769
|
base_model: - Sao10K/L3.3-70B-Euryale-v2.3 - nbeerbower/Llama-3.1-Nemotron-lorablated-70B - EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1 - SicariusSicariiStuff/Negative_LLAMA_70B - TheDrummer/Anubis-70B-v1 lib...
|
['RAG Support', 'Multi-turn']
|
deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
|
DeepSeek-R1-Distill-Qwen-1.5B
|
deepseek-ai
|
2025-01-20T09:04:18+00:00
| 830,469
| 1,367
|
transformers
|
['transformers', 'safetensors', 'qwen2', 'text-generation', 'conversational', 'arxiv:2501.12948', 'license:mit', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'region:us']
| 5
| 949
|
Qwen2ForCausalLM
|
qwen2
| 1,026,097,152
| 131,072
| 1,536
| 12
| 28
| 151,936
|
Language Model
|
['Fine-tuned', 'RLHF', 'Merged']
|
['text-generation', 'question-answering', 'summarization', 'reasoning', 'conversation']
|
['English', 'Chinese', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['Research', 'Education', 'Business']
|
{}
| 83
|
Medium
| 0.83
|
2025-10-29T02:30:55.787771
|
license: mit library_name: transformers <!-- markdownlint-disable first-line-h1 --> <!-- markdownlint-disable html --> <!-- markdownlint-disable no-duplicate-header --> <div align="center"> <img src="...
|
['RAG Support', 'Long Context']
|
deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
|
DeepSeek-R1-Distill-Qwen-32B
|
deepseek-ai
|
2025-01-20T09:19:00+00:00
| 2,413,381
| 1,462
|
transformers
|
['transformers', 'safetensors', 'qwen2', 'text-generation', 'conversational', 'arxiv:2501.12948', 'license:mit', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'region:us']
| 5
| 950
|
Qwen2ForCausalLM
|
qwen2
| 20,911,226,880
| 131,072
| 5,120
| 40
| 64
| 152,064
|
Language Model
|
['Fine-tuned', 'RLHF', 'Merged']
|
['text-generation', 'question-answering', 'summarization', 'reasoning', 'conversation']
|
['English', 'Chinese', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['Research', 'Education', 'Business']
|
{}
| 58
|
Hard
| 0.58
|
2025-10-29T02:30:56.021995
|
license: mit library_name: transformers <!-- markdownlint-disable first-line-h1 --> <!-- markdownlint-disable html --> <!-- markdownlint-disable no-duplicate-header --> <div align="center"> <img src="...
|
['RAG Support', 'Long Context']
|
nvidia/Nemotron-H-4B-Base-8K
|
Nemotron-H-4B-Base-8K
|
nvidia
|
2025-03-20T15:20:54+00:00
| 1,124
| 5
|
transformers
|
['transformers', 'safetensors', 'nvidia', 'pytorch', 'text-generation', 'en', 'arxiv:2504.11409', 'license:other', 'endpoints_compatible', 'region:us']
| 5
| 951
|
NemotronHForCausalLM
|
nemotron_h
| 6,291,456,000
| 8,192
| 3,072
| 32
| 52
| 131,072
|
Language Model
|
['Fine-tuned', 'RLHF', 'LoRA', 'Merged', 'Specialized']
|
['text-generation', 'question-answering', 'code-generation', 'reasoning', 'conversation']
|
['English', 'Chinese', 'Korean', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic', 'Multilingual']
|
['Research', 'Production', 'Business', 'Legal', 'Finance']
|
{}
| 78
|
Medium
| 0.78
|
2025-10-29T02:30:58.348177
|
library_name: transformers license_name: nvidia-internal-scientific-research-and-development-model-license license_link: >- https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-internal-...
|
['RAG Support', 'Long Context', 'Fast Inference', 'Memory Efficient', 'Multi-turn']
|
Qwen/Qwen3-14B
|
Qwen3-14B
|
Qwen
|
2025-04-27T03:42:45+00:00
| 654,239
| 297
|
transformers
|
['transformers', 'safetensors', 'qwen3', 'text-generation', 'conversational', 'arxiv:2309.00071', 'arxiv:2505.09388', 'base_model:Qwen/Qwen3-14B-Base', 'base_model:finetune:Qwen/Qwen3-14B-Base', 'license:apache-2.0', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'region:us']
| 5
| 952
|
Qwen3ForCausalLM
|
qwen3
| 13,360,824,320
| 40,960
| 5,120
| 40
| 40
| 151,936
|
Language Model
|
[]
|
['text-generation', 'question-answering', 'translation', 'code-generation', 'reasoning', 'conversation']
|
['English', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic', 'Multilingual']
|
['Production', 'Creative Writing']
|
{}
| 71
|
Medium
| 0.71
|
2025-10-29T02:30:58.641118
|
library_name: transformers license: apache-2.0 license_link: https://huggingface.co/Qwen/Qwen3-14B/blob/main/LICENSE pipeline_tag: text-generation base_model: - Qwen/Qwen3-14B-Base <a href="https://ch...
|
['RAG Support', 'Long Context', 'Fast Inference', 'Multi-turn', 'Safety Aligned']
|
Qwen/Qwen3-Reranker-8B
|
Qwen3-Reranker-8B
|
Qwen
|
2025-05-29T13:30:18+00:00
| 61,672
| 178
|
transformers
|
['transformers', 'safetensors', 'qwen3', 'text-generation', 'text-ranking', 'arxiv:2506.05176', 'base_model:Qwen/Qwen3-8B-Base', 'base_model:finetune:Qwen/Qwen3-8B-Base', 'license:apache-2.0', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'region:us']
| 5
| 953
|
Qwen3ForCausalLM
|
qwen3
| 7,868,993,536
| 40,960
| 4,096
| 32
| 36
| 151,669
|
Language Model
|
[]
|
['text-classification', 'code-generation', 'reasoning']
|
['English', 'Chinese', 'Spanish', 'French', 'German', 'Russian', 'Arabic', 'Multilingual']
|
['General Purpose']
|
{}
| 76
|
Medium
| 0.76
|
2025-10-29T02:30:58.900555
|
license: apache-2.0 base_model: - Qwen/Qwen3-8B-Base library_name: transformers pipeline_tag: text-ranking <p align="center"> <img src="https://qianwen-res.oss-accelerate-overseas.aliyuncs.com/logo_qw...
|
['Long Context', 'Safety Aligned']
|
unsloth/DeepSeek-R1-0528-Qwen3-8B-GGUF
|
DeepSeek-R1-0528-Qwen3-8B-GGUF
|
unsloth
|
2025-05-29T14:17:25+00:00
| 112,160
| 336
|
transformers
|
['transformers', 'gguf', 'qwen3', 'text-generation', 'unsloth', 'deepseek', 'qwen', 'arxiv:2501.12948', 'base_model:deepseek-ai/DeepSeek-R1-0528-Qwen3-8B', 'base_model:quantized:deepseek-ai/DeepSeek-R1-0528-Qwen3-8B', 'license:mit', 'autotrain_compatible', 'endpoints_compatible', 'region:us', 'conversational']
| 5
| 954
|
Qwen3ForCausalLM
|
qwen3
| 7,870,087,168
| 131,072
| 4,096
| 32
| 36
| 151,936
|
Language Model
|
['RLHF', 'Merged']
|
['text-generation', 'question-answering', 'code-generation', 'reasoning', 'conversation']
|
['English', 'Chinese', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['Research', 'Education', 'Creative Writing', 'Business']
|
{}
| 83
|
Medium
| 0.83
|
2025-10-29T02:30:59.138277
|
tags: - unsloth - deepseek - qwen base_model: - deepseek-ai/DeepSeek-R1-0528-Qwen3-8B license: mit library_name: transformers <div> <p style="margin-bottom: 0; margin-top: 0;"> <strong>Learn how to ru...
|
['Function Calling', 'RAG Support', 'Long Context']
|
LiquidAI/LFM2-350M
|
LFM2-350M
|
LiquidAI
|
2025-07-10T12:01:24+00:00
| 25,083
| 163
|
transformers
|
['transformers', 'safetensors', 'lfm2', 'text-generation', 'liquid', 'edge', 'conversational', 'en', 'ar', 'zh', 'fr', 'de', 'ja', 'ko', 'es', 'license:other', 'autotrain_compatible', 'endpoints_compatible', 'region:us']
| 5
| 955
|
Lfm2ForCausalLM
|
lfm2
| 268,435,456
| 128,000
| 1,024
| 16
| 16
| 65,536
|
Language Model
|
['LoRA']
|
['text-generation', 'question-answering', 'translation', 'code-generation', 'conversation']
|
['English', 'Chinese', 'Korean', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic', 'Multilingual']
|
['Research', 'Production', 'Creative Writing', 'Healthcare']
|
{}
| 88
|
Easy
| 0.88
|
2025-10-29T02:30:59.333630
|
library_name: transformers license: other license_name: lfm1.0 license_link: LICENSE language: - en - ar - zh - fr - de - ja - ko - es pipeline_tag: text-generation tags: - liquid - lfm2 - edge <cente...
|
['Function Calling', 'RAG Support', 'Fast Inference', 'Multi-turn', 'Safety Aligned']
|
google/gemma-3-270m-it
|
gemma-3-270m-it
|
google
|
2025-07-30T18:06:27+00:00
| 208,147
| 440
|
transformers
|
['transformers', 'safetensors', 'gemma3_text', 'text-generation', 'gemma3', 'gemma', 'google', 'conversational', 'arxiv:2503.19786', 'arxiv:1905.07830', 'arxiv:1905.10044', 'arxiv:1911.11641', 'arxiv:1705.03551', 'arxiv:1911.01547', 'arxiv:1907.10641', 'arxiv:2311.07911', 'arxiv:2311.12022', 'arxiv:2411.04368', 'arxiv:1904.09728', 'arxiv:1903.00161', 'arxiv:2009.03300', 'arxiv:2304.06364', 'arxiv:2103.03874', 'arxiv:2110.14168', 'arxiv:2108.07732', 'arxiv:2107.03374', 'arxiv:2403.07974', 'arxiv:2305.03111', 'arxiv:2405.04520', 'arxiv:2210.03057', 'arxiv:2106.03193', 'arxiv:1910.11856', 'arxiv:2502.12404', 'arxiv:2502.21228', 'arxiv:2404.16816', 'arxiv:2104.12756', 'arxiv:2311.16502', 'arxiv:2203.10244', 'arxiv:2404.12390', 'arxiv:1810.12440', 'arxiv:1908.02660', 'arxiv:2310.02255', 'arxiv:2312.11805', 'base_model:google/gemma-3-270m', 'base_model:finetune:google/gemma-3-270m', 'license:gemma', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'region:us']
| 5
| 956
|
Unknown
|
unknown
| null | null | null | null | null | null |
General Language Model
|
[]
|
['text-generation']
|
['English']
|
['General Purpose']
|
{}
| 40
|
Critical
| 0.4
|
2025-10-29T02:31:00.570483
|
No README available
|
[]
|
dousery/medical-reasoning-gpt-oss-20b
|
medical-reasoning-gpt-oss-20b
|
dousery
|
2025-08-09T01:43:56+00:00
| 2,219
| 43
|
transformers
|
['transformers', 'safetensors', 'gpt_oss', 'text-generation', 'medical', 'reasoning', 'healthcare', 'fine-tuned', 'gpt-oss', 'clinical', 'diagnosis', 'unsloth', 'conversational', 'en', 'dataset:Freedomintelligence/medical-o1-reasoning-SFT', 'base_model:unsloth/gpt-oss-20b', 'base_model:quantized:unsloth/gpt-oss-20b', 'license:apache-2.0', 'model-index', 'autotrain_compatible', 'endpoints_compatible', '4-bit', 'bitsandbytes', 'region:us']
| 5
| 957
|
GptOssForCausalLM
|
gpt_oss
| 2,967,920,640
| 131,072
| 2,880
| 64
| 24
| 201,088
|
Language Model
|
['Fine-tuned', 'LoRA', 'Specialized']
|
['text-generation', 'question-answering', 'reasoning']
|
['English', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['Research', 'Education', 'Business', 'Healthcare']
|
{}
| 78
|
Medium
| 0.78
|
2025-10-29T02:31:00.928490
|
language: - en license: apache-2.0 base_model: unsloth/gpt-oss-20b tags: - medical - reasoning - healthcare - fine-tuned - gpt-oss - clinical - diagnosis - unsloth datasets: - Freedomintelligence/medi...
|
['RAG Support', 'Fast Inference', 'Memory Efficient', 'Safety Aligned']
|
baichuan-inc/Baichuan-M2-32B
|
Baichuan-M2-32B
|
baichuan-inc
|
2025-08-10T06:40:13+00:00
| 130,617
| 103
|
transformers
|
['transformers', 'safetensors', 'qwen2', 'text-generation', 'chat', 'conversational', 'en', 'zh', 'arxiv:2509.02208', 'base_model:Qwen/Qwen2.5-32B', 'base_model:finetune:Qwen/Qwen2.5-32B', 'license:apache-2.0', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'region:us']
| 5
| 958
|
Qwen2ForCausalLM
|
qwen2
| 20,911,226,880
| 131,072
| 5,120
| 40
| 64
| 152,064
|
Language Model
|
['RLHF', 'Quantized', 'Specialized']
|
['text-generation', 'question-answering', 'reasoning', 'conversation']
|
['English', 'Chinese', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['Research', 'Production', 'Education', 'Creative Writing', 'Business', 'Healthcare']
|
{}
| 63
|
Hard
| 0.63
|
2025-10-29T02:31:01.280651
|
license: apache-2.0 tags: - chat library_name: transformers language: - en - zh base_model: - Qwen/Qwen2.5-32B [](https://opensour...
|
['Long Context', 'Fast Inference']
|
swiss-ai/Apertus-8B-Instruct-2509
|
Apertus-8B-Instruct-2509
|
swiss-ai
|
2025-08-13T09:30:23+00:00
| 347,397
| 381
|
transformers
|
['transformers', 'safetensors', 'apertus', 'text-generation', 'multilingual', 'compliant', 'swiss-ai', 'conversational', 'arxiv:2509.14233', 'base_model:swiss-ai/Apertus-8B-2509', 'base_model:finetune:swiss-ai/Apertus-8B-2509', 'license:apache-2.0', 'autotrain_compatible', 'endpoints_compatible', 'region:us']
| 5
| 959
|
ApertusForCausalLM
|
apertus
| 6,979,321,856
| 65,536
| 4,096
| 32
| 32
| 131,072
|
Language Model
|
['Specialized']
|
['text-generation', 'question-answering', 'summarization', 'reasoning', 'conversation']
|
['English', 'Chinese', 'Korean', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic', 'Multilingual']
|
['Production', 'Legal']
|
{}
| 86
|
Easy
| 0.86
|
2025-10-29T02:31:01.523760
|
license: apache-2.0 base_model: - swiss-ai/Apertus-8B-2509 pipeline_tag: text-generation library_name: transformers tags: - multilingual - compliant - swiss-ai - apertus extra_gated_prompt: "### Apert...
|
['Function Calling', 'RAG Support', 'Long Context', 'Safety Aligned']
|
apple/FastVLM-0.5B
|
FastVLM-0.5B
|
apple
|
2025-08-25T17:04:42+00:00
| 13,612
| 338
|
ml-fastvlm
|
['ml-fastvlm', 'safetensors', 'llava_qwen2', 'text-generation', 'transformers', 'conversational', 'custom_code', 'arxiv:2412.13303', 'license:apple-amlr', 'region:us']
| 5
| 960
|
LlavaQwen2ForCausalLM
|
llava_qwen2
| 367,345,664
| 32,768
| 896
| 14
| 24
| 151,936
|
Language Model
|
[]
|
['text-generation', 'question-answering', 'code-generation', 'conversation']
|
['English', 'Korean', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['General Purpose']
|
{}
| 75
|
Medium
| 0.75
|
2025-10-29T02:31:03.265353
|
license: apple-amlr library_name: ml-fastvlm tags: - transformers FastVLM was introduced in **[FastVLM: Efficient Vision Encoding for Vision Language Models](https://www.arxiv.org/abs/2412.13303). (CV...
|
['RAG Support', 'Fast Inference']
|
MiniMaxAI/MiniMax-M2
|
MiniMax-M2
|
MiniMaxAI
|
2025-10-22T13:45:10+00:00
| 28,398
| 620
|
transformers
|
['transformers', 'safetensors', 'minimax', 'text-generation', 'conversational', 'arxiv:2504.07164', 'arxiv:2509.06501', 'arxiv:2509.13160', 'license:mit', 'autotrain_compatible', 'endpoints_compatible', 'fp8', 'region:us']
| 620
| 961
|
MiniMaxM2ForCausalLM
|
minimax
| 7,635,861,504
| 196,608
| 3,072
| 48
| 62
| 200,064
|
Language Model
|
['LoRA']
|
['text-generation', 'question-answering', 'code-generation', 'conversation']
|
['English', 'Chinese', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic', 'Multilingual']
|
['Research', 'Production']
|
{}
| 91
|
Easy
| 0.91
|
2025-10-29T02:31:05.690188
|
pipeline_tag: text-generation license: mit library_name: transformers <div align="center"> <svg width="60%" height="auto" viewBox="0 0 144 48" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="...
|
['Function Calling', 'RAG Support', 'Long Context', 'Fast Inference', 'Safety Aligned']
|
PokeeAI/pokee_research_7b
|
pokee_research_7b
|
PokeeAI
|
2025-10-17T20:38:37+00:00
| 3,806
| 87
|
transformers
|
['transformers', 'safetensors', 'qwen2', 'text-generation', 'agent', 'deepresearch', 'llm', 'rl', 'reinforcementlearning', 'conversational', 'en', 'dataset:miromind-ai/MiroRL-GenQA', 'arxiv:2510.15862', 'base_model:Qwen/Qwen2.5-7B-Instruct', 'base_model:finetune:Qwen/Qwen2.5-7B-Instruct', 'license:apache-2.0', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'region:us']
| 87
| 962
|
Qwen2ForCausalLM
|
qwen2
| 4,860,936,192
| 32,768
| 3,584
| 28
| 28
| 152,064
|
Language Model
|
['Fine-tuned', 'RLHF', 'Merged', 'Specialized']
|
['text-generation', 'question-answering', 'summarization', 'reasoning']
|
['English', 'Chinese', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['Research', 'Production', 'Education', 'Healthcare', 'Legal', 'Finance']
|
{}
| 78
|
Medium
| 0.78
|
2025-10-29T02:31:05.933505
|
base_model: - Qwen/Qwen2.5-7B-Instruct datasets: - miromind-ai/MiroRL-GenQA language: - en license: apache-2.0 tags: - agent - deepresearch - llm - rl - reinforcementlearning pipeline_tag: text-genera...
|
['RAG Support', 'Fast Inference', 'Memory Efficient', 'Multi-turn', 'Safety Aligned']
|
zai-org/GLM-4.6
|
GLM-4.6
|
zai-org
|
2025-09-29T18:22:51+00:00
| 62,687
| 906
|
transformers
|
['transformers', 'safetensors', 'glm4_moe', 'text-generation', 'conversational', 'en', 'zh', 'arxiv:2508.06471', 'license:mit', 'autotrain_compatible', 'endpoints_compatible', 'region:us']
| 70
| 963
|
Glm4MoeForCausalLM
|
glm4_moe
| 29,716,643,840
| 202,752
| 5,120
| 96
| 92
| 151,552
|
Language Model
|
[]
|
['text-generation', 'code-generation', 'reasoning', 'conversation']
|
['English', 'Chinese', 'Spanish', 'French', 'German', 'Arabic']
|
['Creative Writing']
|
{}
| 63
|
Hard
| 0.63
|
2025-10-29T02:31:06.094383
|
language: - en - zh library_name: transformers license: mit pipeline_tag: text-generation <div align="center"> <img src=https://raw.githubusercontent.com/zai-org/GLM-4.5/refs/heads/main/resources/logo...
|
['Function Calling', 'Long Context']
|
openai/gpt-oss-20b
|
gpt-oss-20b
|
openai
|
2025-08-04T22:33:29+00:00
| 4,842,116
| 3,816
|
transformers
|
['transformers', 'safetensors', 'gpt_oss', 'text-generation', 'vllm', 'conversational', 'arxiv:2508.10925', 'license:apache-2.0', 'autotrain_compatible', 'endpoints_compatible', '8-bit', 'mxfp4', 'region:us']
| 62
| 964
|
GptOssForCausalLM
|
gpt_oss
| 2,967,920,640
| 131,072
| 2,880
| 64
| 24
| 201,088
|
Language Model
|
['Fine-tuned', 'Specialized']
|
['text-generation', 'reasoning', 'conversation']
|
['English', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['Production', 'Business']
|
{}
| 85
|
Easy
| 0.85
|
2025-10-29T02:31:06.320771
|
license: apache-2.0 pipeline_tag: text-generation library_name: transformers tags: - vllm <p align="center"> <img alt="gpt-oss-20b" src="https://raw.githubusercontent.com/openai/gpt-oss/main/docs/gpt-...
|
['Function Calling', 'Fast Inference', 'Multi-turn']
|
meta-llama/Llama-3.1-8B-Instruct
|
Llama-3.1-8B-Instruct
|
meta-llama
|
2024-07-18T08:56:00+00:00
| 5,224,593
| 4,835
|
transformers
|
['transformers', 'safetensors', 'llama', 'text-generation', 'facebook', 'meta', 'pytorch', 'llama-3', 'conversational', 'en', 'de', 'fr', 'it', 'pt', 'hi', 'es', 'th', 'arxiv:2204.05149', 'base_model:meta-llama/Llama-3.1-8B', 'base_model:finetune:meta-llama/Llama-3.1-8B', 'license:llama3.1', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'region:us']
| 48
| 965
|
Unknown
|
unknown
| null | null | null | null | null | null |
General Language Model
|
[]
|
['text-generation']
|
['English']
|
['General Purpose']
|
{}
| 40
|
Critical
| 0.4
|
2025-10-29T02:31:07.524061
|
No README available
|
[]
|
deepseek-ai/DeepSeek-V3.2-Exp
|
DeepSeek-V3.2-Exp
|
deepseek-ai
|
2025-09-29T06:07:26+00:00
| 101,711
| 748
|
transformers
|
['transformers', 'safetensors', 'deepseek_v32', 'text-generation', 'conversational', 'base_model:deepseek-ai/DeepSeek-V3.2-Exp-Base', 'base_model:finetune:deepseek-ai/DeepSeek-V3.2-Exp-Base', 'license:mit', 'autotrain_compatible', 'endpoints_compatible', 'fp8', 'region:us']
| 45
| 966
|
DeepseekV32ForCausalLM
|
deepseek_v32
| 38,537,003,008
| 163,840
| 7,168
| 128
| 61
| 129,280
|
Language Model
|
[]
|
['text-generation', 'question-answering', 'reasoning', 'conversation']
|
['English', 'Chinese', 'Spanish', 'German', 'Russian', 'Arabic', 'Multilingual']
|
['Research']
|
{}
| 58
|
Hard
| 0.58
|
2025-10-29T02:31:07.749509
|
license: mit library_name: transformers base_model: - deepseek-ai/DeepSeek-V3.2-Exp-Base base_model_relation: finetune <!-- markdownlint-disable first-line-h1 --> <!-- markdownlint-disable html --> <!...
|
['Function Calling', 'Fast Inference', 'Safety Aligned']
|
inclusionAI/LLaDA2.0-flash-preview
|
LLaDA2.0-flash-preview
|
inclusionAI
|
2025-10-25T09:22:29+00:00
| 44
| 44
|
transformers
|
['transformers', 'safetensors', 'llada2_moe', 'text-generation', 'dllm', 'diffusion', 'llm', 'text_generation', 'conversational', 'custom_code', 'license:apache-2.0', 'autotrain_compatible', 'region:us']
| 44
| 967
|
LLaDA2MoeModelLM
|
llada2_moe
| 7,086,276,608
| 16,384
| 4,096
| 32
| 32
| 157,184
|
Language Model
|
['Fine-tuned', 'RLHF']
|
['text-generation', 'question-answering', 'code-generation', 'reasoning', 'conversation']
|
['English', 'Korean', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['Education']
|
{}
| 65
|
Medium
| 0.65
|
2025-10-29T02:31:08.028102
|
license: apache-2.0 library_name: transformers tags: - dllm - diffusion - llm - text_generation **LLaDA2.0-flash-preview** is a diffusion language model featuring a 100BA6B Mixture-of-Experts (MoE) ar...
|
['Function Calling', 'RAG Support', 'Fast Inference', 'Memory Efficient']
|
openai/gpt-oss-120b
|
gpt-oss-120b
|
openai
|
2025-08-04T22:33:06+00:00
| 3,798,358
| 4,067
|
transformers
|
['transformers', 'safetensors', 'gpt_oss', 'text-generation', 'vllm', 'conversational', 'arxiv:2508.10925', 'license:apache-2.0', 'autotrain_compatible', 'endpoints_compatible', '8-bit', 'mxfp4', 'region:us']
| 41
| 968
|
GptOssForCausalLM
|
gpt_oss
| 4,162,314,240
| 131,072
| 2,880
| 64
| 36
| 201,088
|
Language Model
|
['Fine-tuned', 'Specialized']
|
['text-generation', 'reasoning', 'conversation']
|
['English', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['Production', 'Business']
|
{}
| 80
|
Medium
| 0.8
|
2025-10-29T02:31:08.236012
|
license: apache-2.0 pipeline_tag: text-generation library_name: transformers tags: - vllm <p align="center"> <img alt="gpt-oss-120b" src="https://raw.githubusercontent.com/openai/gpt-oss/main/docs/gpt...
|
['Function Calling', 'Fast Inference', 'Multi-turn']
|
cerebras/GLM-4.5-Air-REAP-82B-A12B
|
GLM-4.5-Air-REAP-82B-A12B
|
cerebras
|
2025-10-20T15:44:06+00:00
| 1,159
| 77
|
transformers
|
['transformers', 'safetensors', 'glm4_moe', 'text-generation', 'glm', 'MOE', 'pruning', 'compression', 'conversational', 'en', 'arxiv:2510.13999', 'base_model:zai-org/GLM-4.5-Air', 'base_model:finetune:zai-org/GLM-4.5-Air', 'license:mit', 'autotrain_compatible', 'endpoints_compatible', 'region:us']
| 41
| 969
|
Glm4MoeForCausalLM
|
glm4_moe
| 9,881,780,224
| 131,072
| 4,096
| 96
| 46
| 151,552
|
Language Model
|
['Specialized']
|
['text-generation', 'question-answering', 'code-generation', 'reasoning']
|
['English', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['Research', 'Production', 'Creative Writing']
|
{}
| 70
|
Medium
| 0.7
|
2025-10-29T02:31:08.581588
|
language: - en library_name: transformers tags: - glm - MOE - pruning - compression license: mit name: cerebras/GLM-4.5-Air-REAP-82B-A12B description: > This model was obtained by uniformly pruning 25...
|
['Function Calling', 'Fast Inference', 'Memory Efficient', 'Multi-turn']
|
ibm-granite/granite-4.0-h-1b
|
granite-4.0-h-1b
|
ibm-granite
|
2025-10-07T20:21:46+00:00
| 36
| 34
|
transformers
|
['transformers', 'safetensors', 'granitemoehybrid', 'text-generation', 'language', 'granite-4.0', 'conversational', 'arxiv:0000.00000', 'base_model:ibm-granite/granite-4.0-h-1b-base', 'base_model:finetune:ibm-granite/granite-4.0-h-1b-base', 'license:apache-2.0', 'autotrain_compatible', 'endpoints_compatible', 'region:us']
| 34
| 970
|
GraniteMoeHybridForCausalLM
|
granitemoehybrid
| 1,286,602,752
| 131,072
| 1,536
| 12
| 40
| 100,352
|
Language Model
|
['Fine-tuned', 'RLHF', 'Specialized']
|
['text-generation', 'question-answering', 'text-classification', 'summarization', 'conversation']
|
['English', 'Chinese', 'Korean', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic', 'Multilingual']
|
['Research', 'Production', 'Education']
|
{}
| 86
|
Easy
| 0.86
|
2025-10-29T02:31:08.893758
|
license: apache-2.0 library_name: transformers tags: - language - granite-4.0 base_model: - ibm-granite/granite-4.0-h-1b-base **Model Summary:** Granite-4.0-H-1B is a lightweight instruct model finetu...
|
['RAG Support', 'Long Context', 'Fast Inference', 'Safety Aligned']
|
RUC-DataLab/DeepAnalyze-8B
|
DeepAnalyze-8B
|
RUC-DataLab
|
2025-10-17T09:15:30+00:00
| 919
| 44
|
transformers
|
['transformers', 'safetensors', 'text-generation', 'dataset:RUC-DataLab/DataScience-Instruct-500K', 'arxiv:2510.16872', 'license:mit', 'endpoints_compatible', 'region:us']
| 34
| 971
|
Unknown
|
unknown
| null | null | null | null | null | null |
Language Model
|
[]
|
['text-generation']
|
['English', 'Chinese', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['Research']
|
{}
| 40
|
Critical
| 0.4
|
2025-10-29T02:31:12.244229
|
datasets: - RUC-DataLab/DataScience-Instruct-500K license: mit pipeline_tag: text-generation library_name: transformers <p align="center" width="100%"> <img src="assets/logo.png" alt="DeepAnalyze" sty...
|
[]
|
facebook/MobileLLM-Pro
|
MobileLLM-Pro
|
facebook
|
2025-09-10T18:40:06+00:00
| 4,010
| 135
|
transformers
|
['transformers', 'safetensors', 'llama4_text', 'text-generation', 'facebook', 'meta', 'pytorch', 'conversational', 'custom_code', 'en', 'base_model:facebook/MobileLLM-Pro-base', 'base_model:finetune:facebook/MobileLLM-Pro-base', 'license:fair-noncommercial-research-license', 'autotrain_compatible', 'region:us']
| 32
| 972
|
Unknown
|
unknown
| null | null | null | null | null | null |
General Language Model
|
[]
|
['text-generation']
|
['English']
|
['General Purpose']
|
{}
| 40
|
Critical
| 0.4
|
2025-10-29T02:31:13.557107
|
No README available
|
[]
|
cerebras/GLM-4.6-REAP-218B-A32B-FP8
|
GLM-4.6-REAP-218B-A32B-FP8
|
cerebras
|
2025-10-23T20:29:59+00:00
| 365
| 32
|
transformers
|
['transformers', 'safetensors', 'glm4_moe', 'text-generation', 'glm', 'MOE', 'pruning', 'compression', 'conversational', 'en', 'arxiv:2510.13999', 'base_model:zai-org/GLM-4.6-FP8', 'base_model:quantized:zai-org/GLM-4.6-FP8', 'license:mit', 'autotrain_compatible', 'endpoints_compatible', 'compressed-tensors', 'region:us']
| 32
| 973
|
Glm4MoeForCausalLM
|
glm4_moe
| 29,716,643,840
| 202,752
| 5,120
| 96
| 92
| 151,552
|
Language Model
|
['Specialized']
|
['text-generation', 'question-answering', 'code-generation', 'reasoning']
|
['English', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['Research', 'Production', 'Creative Writing']
|
{}
| 60
|
Hard
| 0.6
|
2025-10-29T02:31:13.887930
|
language: - en library_name: transformers tags: - glm - MOE - pruning - compression license: mit name: cerebras/GLM-4.6-REAP-218B-A32B-FP8 description: > This model was obtained by uniformly pruning 4...
|
['Function Calling', 'Fast Inference', 'Memory Efficient', 'Multi-turn']
|
katanemo/Arch-Router-1.5B
|
Arch-Router-1.5B
|
katanemo
|
2025-05-30T18:16:23+00:00
| 2,818
| 211
|
transformers
|
['transformers', 'safetensors', 'qwen2', 'text-generation', 'routing', 'preference', 'arxiv:2506.16655', 'llm', 'conversational', 'en', 'base_model:Qwen/Qwen2.5-1.5B-Instruct', 'base_model:finetune:Qwen/Qwen2.5-1.5B-Instruct', 'license:other', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'region:us']
| 30
| 974
|
Qwen2ForCausalLM
|
qwen2
| 1,026,097,152
| 32,768
| 1,536
| 12
| 28
| 151,936
|
Language Model
|
['Specialized']
|
['text-generation', 'question-answering', 'translation', 'summarization', 'code-generation', 'conversation']
|
['English', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['Research', 'Production', 'Healthcare', 'Legal']
|
{}
| 83
|
Medium
| 0.83
|
2025-10-29T02:31:14.129528
|
base_model: - Qwen/Qwen2.5-1.5B-Instruct language: - en library_name: transformers license: other license_name: katanemo-research license_link: https://huggingface.co/katanemo/Arch-Router-1.5B/blob/ma...
|
['Fast Inference', 'Memory Efficient', 'Multi-turn', 'Safety Aligned']
|
ibm-granite/granite-4.0-h-350m
|
granite-4.0-h-350m
|
ibm-granite
|
2025-10-07T20:23:17+00:00
| 802
| 28
|
transformers
|
['transformers', 'safetensors', 'granitemoehybrid', 'text-generation', 'language', 'granite-4.0', 'conversational', 'arxiv:0000.00000', 'base_model:ibm-granite/granite-4.0-h-350m-base', 'base_model:finetune:ibm-granite/granite-4.0-h-350m-base', 'license:apache-2.0', 'autotrain_compatible', 'endpoints_compatible', 'region:us']
| 28
| 975
|
GraniteMoeHybridForCausalLM
|
granitemoehybrid
| 303,562,752
| 32,768
| 768
| 12
| 32
| 100,352
|
Language Model
|
['Fine-tuned', 'RLHF', 'Specialized']
|
['text-generation', 'question-answering', 'text-classification', 'summarization', 'conversation']
|
['English', 'Chinese', 'Korean', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic', 'Multilingual']
|
['Research', 'Production', 'Education']
|
{}
| 86
|
Easy
| 0.86
|
2025-10-29T02:31:14.403183
|
license: apache-2.0 library_name: transformers tags: - language - granite-4.0 base_model: - ibm-granite/granite-4.0-h-350m-base **Model Summary:** Granite-4.0-H-350M is a lightweight instruct model fi...
|
['RAG Support', 'Long Context', 'Fast Inference', 'Safety Aligned']
|
inclusionAI/LLaDA2.0-mini-preview
|
LLaDA2.0-mini-preview
|
inclusionAI
|
2025-10-17T07:36:24+00:00
| 1,194
| 66
|
transformers
|
['transformers', 'safetensors', 'llada2_moe', 'text-generation', 'dllm', 'diffusion', 'llm', 'text_generation', 'conversational', 'custom_code', 'license:apache-2.0', 'autotrain_compatible', 'region:us']
| 26
| 976
|
LLaDA2MoeModelLM
|
llada2_moe
| 1,328,545,792
| 8,192
| 2,048
| 16
| 20
| 157,184
|
Language Model
|
['Fine-tuned', 'RLHF']
|
['text-generation', 'question-answering', 'code-generation', 'reasoning', 'conversation']
|
['English', 'Korean', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['Education']
|
{}
| 70
|
Medium
| 0.7
|
2025-10-29T02:31:14.641519
|
license: apache-2.0 library_name: transformers tags: - dllm - diffusion - llm - text_generation **LLaDA2.0-mini-preview** is a diffusion language model featuring a 16BA1B Mixture-of-Experts (MoE) arch...
|
['Function Calling', 'RAG Support', 'Fast Inference', 'Memory Efficient']
|
ibm-granite/granite-4.0-350m
|
granite-4.0-350m
|
ibm-granite
|
2025-10-07T20:25:05+00:00
| 98
| 25
|
transformers
|
['transformers', 'safetensors', 'granitemoehybrid', 'text-generation', 'language', 'granite-4.0', 'conversational', 'arxiv:0000.00000', 'base_model:ibm-granite/granite-4.0-350m-base', 'base_model:finetune:ibm-granite/granite-4.0-350m-base', 'license:apache-2.0', 'autotrain_compatible', 'endpoints_compatible', 'region:us']
| 25
| 977
|
GraniteMoeHybridForCausalLM
|
granitemoehybrid
| 455,081,984
| 32,768
| 1,024
| 16
| 28
| 100,352
|
Language Model
|
['Fine-tuned', 'RLHF', 'Specialized']
|
['text-generation', 'question-answering', 'text-classification', 'summarization', 'conversation']
|
['English', 'Chinese', 'Korean', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic', 'Multilingual']
|
['Research', 'Production', 'Education']
|
{}
| 86
|
Easy
| 0.86
|
2025-10-29T02:31:14.900303
|
license: apache-2.0 library_name: transformers tags: - language - granite-4.0 base_model: - ibm-granite/granite-4.0-350m-base **Model Summary:** Granite-4.0-350M is a lightweight instruct model finetu...
|
['RAG Support', 'Long Context', 'Fast Inference', 'Safety Aligned']
|
inclusionAI/Ling-1T
|
Ling-1T
|
inclusionAI
|
2025-10-02T13:41:55+00:00
| 4,196
| 493
|
transformers
|
['transformers', 'safetensors', 'bailing_moe', 'text-generation', 'conversational', 'custom_code', 'arxiv:2507.17702', 'arxiv:2507.17634', 'license:mit', 'autotrain_compatible', 'region:us']
| 24
| 978
|
BailingMoeV2ForCausalLM
|
bailing_moe
| 65,712,160,768
| 32,768
| 8,192
| 64
| 80
| 157,184
|
Language Model
|
['RLHF', 'Merged']
|
['text-generation', 'question-answering', 'code-generation', 'reasoning', 'conversation']
|
['English', 'Chinese', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['Production', 'Education', 'Legal']
|
{}
| 63
|
Hard
| 0.63
|
2025-10-29T02:31:15.127568
|
license: mit pipeline_tag: text-generation library_name: transformers <p align="center"> <img src="https://mdn.alipayobjects.com/huamei_qa8qxu/afts/img/A*4QxcQrBlTiAAAAAAQXAAAAgAemJ7AQ/original" width...
|
['Function Calling', 'Long Context', 'Fast Inference', 'Multi-turn']
|
ibm-granite/granite-4.0-1b
|
granite-4.0-1b
|
ibm-granite
|
2025-10-07T20:24:27+00:00
| 63
| 24
|
transformers
|
['transformers', 'safetensors', 'granitemoehybrid', 'text-generation', 'language', 'granite-4.0', 'conversational', 'arxiv:0000.00000', 'base_model:ibm-granite/granite-4.0-1b-base', 'base_model:finetune:ibm-granite/granite-4.0-1b-base', 'license:apache-2.0', 'autotrain_compatible', 'endpoints_compatible', 'region:us']
| 24
| 979
|
GraniteMoeHybridForCausalLM
|
granitemoehybrid
| 2,218,786,816
| 131,072
| 2,048
| 16
| 40
| 100,352
|
Language Model
|
['Fine-tuned', 'RLHF', 'Specialized']
|
['text-generation', 'question-answering', 'text-classification', 'summarization', 'conversation']
|
['English', 'Chinese', 'Korean', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic', 'Multilingual']
|
['Research', 'Production', 'Education']
|
{}
| 86
|
Easy
| 0.86
|
2025-10-29T02:31:15.507767
|
license: apache-2.0 library_name: transformers tags: - language - granite-4.0 base_model: - ibm-granite/granite-4.0-1b-base **Model Summary:** Granite-4.0-1B is a lightweight instruct model finetuned ...
|
['RAG Support', 'Long Context', 'Fast Inference', 'Safety Aligned']
|
utter-project/EuroLLM-9B
|
EuroLLM-9B
|
utter-project
|
2024-11-22T10:44:55+00:00
| 7,084
| 114
|
transformers
|
['transformers', 'pytorch', 'safetensors', 'llama', 'text-generation', 'en', 'de', 'es', 'fr', 'it', 'pt', 'pl', 'nl', 'tr', 'sv', 'cs', 'el', 'hu', 'ro', 'fi', 'uk', 'sl', 'sk', 'da', 'lt', 'lv', 'et', 'bg', 'no', 'ca', 'hr', 'ga', 'mt', 'gl', 'zh', 'ru', 'ko', 'ja', 'ar', 'hi', 'arxiv:2202.03799', 'arxiv:2402.17733', 'license:apache-2.0', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'region:us']
| 23
| 980
|
Unknown
|
unknown
| null | null | null | null | null | null |
General Language Model
|
[]
|
['text-generation']
|
['English']
|
['General Purpose']
|
{}
| 40
|
Critical
| 0.4
|
2025-10-29T02:31:17.187940
|
No README available
|
[]
|
deepseek-ai/DeepSeek-R1
|
DeepSeek-R1
|
deepseek-ai
|
2025-01-20T03:46:07+00:00
| 462,277
| 12,814
|
transformers
|
['transformers', 'safetensors', 'deepseek_v3', 'text-generation', 'conversational', 'custom_code', 'arxiv:2501.12948', 'license:mit', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'fp8', 'region:us']
| 23
| 981
|
DeepseekV3ForCausalLM
|
deepseek_v3
| 38,537,003,008
| 163,840
| 7,168
| 128
| 61
| 129,280
|
Language Model
|
['Fine-tuned', 'RLHF', 'Merged']
|
['text-generation', 'question-answering', 'summarization', 'reasoning', 'conversation']
|
['English', 'Chinese', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['Research', 'Education', 'Business']
|
{}
| 48
|
Hard
| 0.48
|
2025-10-29T02:31:19.877604
|
license: mit library_name: transformers <!-- markdownlint-disable first-line-h1 --> <!-- markdownlint-disable html --> <!-- markdownlint-disable no-duplicate-header --> <div align="center"> <img src="...
|
['RAG Support', 'Long Context']
|
rednote-hilab/dots.ocr
|
dots.ocr
|
rednote-hilab
|
2025-07-30T09:55:44+00:00
| 1,170,388
| 1,098
|
dots_ocr
|
['dots_ocr', 'safetensors', 'text-generation', 'image-to-text', 'ocr', 'document-parse', 'layout', 'table', 'formula', 'transformers', 'custom_code', 'image-text-to-text', 'conversational', 'en', 'zh', 'multilingual', 'license:mit', 'region:us']
| 23
| 982
|
DotsOCRForCausalLM
|
dots_ocr
| 1,026,097,152
| 131,072
| 1,536
| 12
| 28
| 151,936
|
Language Model
|
[]
|
['text-generation', 'translation', 'summarization', 'conversation']
|
['English', 'Chinese', 'Spanish', 'French', 'German', 'Russian', 'Arabic', 'Multilingual']
|
['Research', 'Production', 'Finance']
|
{}
| 75
|
Medium
| 0.75
|
2025-10-29T02:31:20.300963
|
license: mit library_name: dots_ocr pipeline_tag: image-text-to-text tags: - image-to-text - ocr - document-parse - layout - table - formula - transformers - custom_code language: - en - zh - multilin...
|
['RAG Support', 'Fast Inference', 'Memory Efficient']
|
ibm-granite/granite-4.0-h-1b-base
|
granite-4.0-h-1b-base
|
ibm-granite
|
2025-10-07T20:22:43+00:00
| 33
| 23
|
transformers
|
['transformers', 'safetensors', 'granitemoehybrid', 'text-generation', 'language', 'granite-4.0', 'license:apache-2.0', 'autotrain_compatible', 'endpoints_compatible', 'region:us']
| 23
| 983
|
GraniteMoeHybridForCausalLM
|
granitemoehybrid
| 1,286,602,752
| 131,072
| 1,536
| 12
| 40
| 100,352
|
Language Model
|
['LoRA', 'Specialized']
|
['text-generation', 'question-answering', 'text-classification', 'summarization']
|
['English', 'Chinese', 'Korean', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic', 'Multilingual']
|
['Research', 'Education']
|
{}
| 86
|
Easy
| 0.86
|
2025-10-29T02:31:20.511873
|
license: apache-2.0 library_name: transformers tags: - language - granite-4.0 **Model Summary:** Granite-4.0-H-1B-Base is a lightweight decoder-only language model designed for scenarios where efficie...
|
['Long Context', 'Fast Inference', 'Safety Aligned']
|
moonshotai/Kimi-K2-Instruct-0905
|
Kimi-K2-Instruct-0905
|
moonshotai
|
2025-09-03T03:34:36+00:00
| 41,884
| 523
|
transformers
|
['transformers', 'safetensors', 'kimi_k2', 'text-generation', 'conversational', 'custom_code', 'license:other', 'autotrain_compatible', 'endpoints_compatible', 'fp8', 'region:us']
| 22
| 984
|
DeepseekV3ForCausalLM
|
kimi_k2
| 38,784,729,088
| 262,144
| 7,168
| 64
| 61
| 163,840
|
Language Model
|
[]
|
['question-answering', 'summarization', 'code-generation', 'reasoning', 'conversation']
|
['English', 'Spanish', 'French', 'German', 'Russian', 'Arabic', 'Multilingual']
|
['Production', 'Creative Writing']
|
{}
| 48
|
Hard
| 0.48
|
2025-10-29T02:31:20.756473
|
license: other license_name: modified-mit library_name: transformers <div align="center"> <picture> <img src="figures/kimi-logo.png" width="30%" alt="Kimi K2: Open Agentic Intellignece"> </picture> </...
|
['Long Context']
|
inclusionAI/Ring-1T
|
Ring-1T
|
inclusionAI
|
2025-10-10T16:39:04+00:00
| 1,552
| 212
|
transformers
|
['transformers', 'safetensors', 'bailing_moe', 'text-generation', 'conversational', 'custom_code', 'arxiv:2510.18855', 'license:mit', 'autotrain_compatible', 'region:us']
| 22
| 985
|
BailingMoeV2ForCausalLM
|
bailing_moe
| 65,712,160,768
| 65,536
| 8,192
| 64
| 80
| 157,184
|
Language Model
|
['RLHF']
|
['text-generation', 'question-answering', 'code-generation', 'reasoning', 'conversation']
|
['English', 'Chinese', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['Research', 'Production', 'Education', 'Creative Writing', 'Business', 'Healthcare']
|
{}
| 63
|
Hard
| 0.63
|
2025-10-29T02:31:21.333297
|
pipeline_tag: text-generation license: mit library_name: transformers <p align="center"> <img src="https://mdn.alipayobjects.com/huamei_qa8qxu/afts/img/A*4QxcQrBlTiAAAAAAQXAAAAgAemJ7AQ/original" width...
|
['Function Calling', 'RAG Support', 'Long Context', 'Fast Inference', 'Memory Efficient']
|
ibm-granite/granite-4.0-1b-base
|
granite-4.0-1b-base
|
ibm-granite
|
2025-10-07T20:24:47+00:00
| 31
| 21
|
transformers
|
['transformers', 'safetensors', 'granitemoehybrid', 'text-generation', 'language', 'granite-4.0', 'license:apache-2.0', 'autotrain_compatible', 'endpoints_compatible', 'region:us']
| 21
| 986
|
GraniteMoeHybridForCausalLM
|
granitemoehybrid
| 2,218,786,816
| 131,072
| 2,048
| 16
| 40
| 100,352
|
Language Model
|
['LoRA', 'Specialized']
|
['text-generation', 'question-answering', 'text-classification', 'summarization']
|
['English', 'Chinese', 'Korean', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic', 'Multilingual']
|
['Research', 'Education']
|
{}
| 86
|
Easy
| 0.86
|
2025-10-29T02:31:21.734530
|
license: apache-2.0 library_name: transformers tags: - language - granite-4.0 **Model Summary:** Granite-4.0-1B-Base is a lightweight decoder-only language model designed for scenarios where efficienc...
|
['Long Context', 'Fast Inference', 'Safety Aligned']
|
vandijklab/C2S-Scale-Gemma-2-27B
|
C2S-Scale-Gemma-2-27B
|
vandijklab
|
2025-10-06T20:22:30+00:00
| 9,405
| 134
|
transformers
|
['transformers', 'safetensors', 'gemma2', 'text-generation', 'biology', 'scRNAseq', 'genomics', 'computational-biology', 'bioinformatics', 'gene-expression', 'cell-biology', 'pytorch', 'cell-type-annotation', 'Question Answering', 'en', 'base_model:google/gemma-2-27b', 'base_model:finetune:google/gemma-2-27b', 'license:cc-by-4.0', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'region:us']
| 20
| 987
|
Gemma2ForCausalLM
|
gemma2
| 12,900,630,528
| 8,192
| 4,608
| 32
| 46
| 256,000
|
Language Model
|
['Fine-tuned', 'RLHF', 'Specialized']
|
['text-generation', 'question-answering', 'text-classification', 'reasoning']
|
['English', 'Chinese', 'Korean', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['Research', 'Education', 'Legal']
|
{}
| 60
|
Hard
| 0.6
|
2025-10-29T02:31:21.961927
|
license: cc-by-4.0 language: - en base_model: google/gemma-2-27b library_name: transformers pipeline_tag: text-generation tags: - biology - scRNAseq - gemma2 - genomics - computational-biology - bioin...
|
['RAG Support', 'Fast Inference']
|
meta-llama/Llama-3.2-1B
|
Llama-3.2-1B
|
meta-llama
|
2024-09-18T15:03:14+00:00
| 1,688,906
| 2,138
|
transformers
|
['transformers', 'safetensors', 'llama', 'text-generation', 'facebook', 'meta', 'pytorch', 'llama-3', 'en', 'de', 'fr', 'it', 'pt', 'hi', 'es', 'th', 'arxiv:2204.05149', 'arxiv:2405.16406', 'license:llama3.2', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'region:us']
| 19
| 988
|
Unknown
|
unknown
| null | null | null | null | null | null |
General Language Model
|
[]
|
['text-generation']
|
['English']
|
['General Purpose']
|
{}
| 40
|
Critical
| 0.4
|
2025-10-29T02:31:23.251057
|
No README available
|
[]
|
Qwen/Qwen3-Embedding-0.6B
|
Qwen3-Embedding-0.6B
|
Qwen
|
2025-06-03T14:25:32+00:00
| 4,127,926
| 691
|
sentence-transformers
|
['sentence-transformers', 'safetensors', 'qwen3', 'text-generation', 'transformers', 'sentence-similarity', 'feature-extraction', 'text-embeddings-inference', 'arxiv:2506.05176', 'base_model:Qwen/Qwen3-0.6B-Base', 'base_model:finetune:Qwen/Qwen3-0.6B-Base', 'license:apache-2.0', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'region:us']
| 19
| 989
|
Qwen3ForCausalLM
|
qwen3
| 507,630,592
| 32,768
| 1,024
| 16
| 28
| 151,669
|
Language Model
|
[]
|
['text-classification', 'code-generation', 'reasoning']
|
['English', 'Chinese', 'Spanish', 'French', 'German', 'Russian', 'Arabic', 'Multilingual']
|
['General Purpose']
|
{}
| 81
|
Medium
| 0.81
|
2025-10-29T02:31:23.549329
|
license: apache-2.0 base_model: - Qwen/Qwen3-0.6B-Base tags: - transformers - sentence-transformers - sentence-similarity - feature-extraction - text-embeddings-inference <p align="center"> <img src="...
|
['Long Context', 'Safety Aligned']
|
ibm-granite/granite-4.0-h-350m-base
|
granite-4.0-h-350m-base
|
ibm-granite
|
2025-10-07T20:24:04+00:00
| 20
| 19
|
transformers
|
['transformers', 'safetensors', 'granitemoehybrid', 'text-generation', 'language', 'granite-4.0', 'license:apache-2.0', 'autotrain_compatible', 'endpoints_compatible', 'region:us']
| 19
| 990
|
GraniteMoeHybridForCausalLM
|
granitemoehybrid
| 303,562,752
| 32,768
| 768
| 12
| 32
| 100,352
|
Language Model
|
['LoRA', 'Specialized']
|
['text-generation', 'question-answering', 'text-classification', 'summarization']
|
['English', 'Chinese', 'Korean', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic', 'Multilingual']
|
['Research', 'Education']
|
{}
| 86
|
Easy
| 0.86
|
2025-10-29T02:31:23.837092
|
license: apache-2.0 library_name: transformers tags: - language - granite-4.0 **Model Summary:** Granite-4.0-H-350M-Base is a lightweight decoder-only language model designed for scenarios where effic...
|
['Long Context', 'Fast Inference', 'Safety Aligned']
|
inclusionAI/Ring-flash-linear-2.0-128k
|
Ring-flash-linear-2.0-128k
|
inclusionAI
|
2025-10-21T02:57:09+00:00
| 62
| 19
|
transformers
|
['transformers', 'safetensors', 'bailing_moe_linear', 'text-generation', 'moe', 'conversational', 'custom_code', 'en', 'arxiv:2510.19338', 'base_model:inclusionAI/Ling-flash-base-2.0', 'base_model:finetune:inclusionAI/Ling-flash-base-2.0', 'license:mit', 'autotrain_compatible', 'region:us']
| 19
| 991
|
BailingMoeLinearV2ForCausalLM
|
bailing_moe_linear
| 7,086,276,608
| 131,072
| 4,096
| 32
| 32
| 157,184
|
Language Model
|
['Merged']
|
['text-generation', 'question-answering', 'code-generation', 'reasoning', 'conversation']
|
['English', 'Chinese', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['Production']
|
{}
| 78
|
Medium
| 0.78
|
2025-10-29T02:31:26.078247
|
license: mit language: - en base_model: - inclusionAI/Ling-flash-base-2.0 pipeline_tag: text-generation library_name: transformers tags: - moe <p align="center"> <img src="https://mdn.alipayobjects.co...
|
['RAG Support', 'Long Context', 'Fast Inference']
|
ibm-granite/granite-docling-258M
|
granite-docling-258M
|
ibm-granite
|
2025-05-19T19:53:11+00:00
| 229,742
| 990
|
transformers
|
['transformers', 'safetensors', 'idefics3', 'image-to-text', 'text-generation', 'documents', 'code', 'formula', 'chart', 'ocr', 'layout', 'table', 'document-parse', 'docling', 'granite', 'extraction', 'math', 'image-text-to-text', 'conversational', 'en', 'dataset:ds4sd/SynthCodeNet', 'dataset:ds4sd/SynthFormulaNet', 'dataset:ds4sd/SynthChartNet', 'dataset:HuggingFaceM4/DoclingMatix', 'arxiv:2501.17887', 'arxiv:2503.11576', 'arxiv:2305.03393', 'license:apache-2.0', 'endpoints_compatible', 'region:us']
| 18
| 992
|
Idefics3ForConditionalGeneration
|
idefics3
| null | null | null | null | null | 100,352
|
Language Model
|
['Fine-tuned', 'LoRA']
|
['text-generation', 'question-answering', 'summarization', 'code-generation', 'reasoning', 'conversation']
|
['English', 'Chinese', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['Research', 'Education']
|
{}
| 48
|
Hard
| 0.48
|
2025-10-29T02:31:26.308734
|
license: apache-2.0 datasets: - ds4sd/SynthCodeNet - ds4sd/SynthFormulaNet - ds4sd/SynthChartNet - HuggingFaceM4/DoclingMatix tags: - text-generation - documents - code - formula - chart - ocr - layou...
|
['Fast Inference', 'Memory Efficient', 'Safety Aligned']
|
Qwen/Qwen3-4B-Instruct-2507
|
Qwen3-4B-Instruct-2507
|
Qwen
|
2025-08-05T10:58:03+00:00
| 3,623,413
| 427
|
transformers
|
['transformers', 'safetensors', 'qwen3', 'text-generation', 'conversational', 'arxiv:2505.09388', 'license:apache-2.0', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'region:us']
| 18
| 993
|
Qwen3ForCausalLM
|
qwen3
| 3,220,111,360
| 262,144
| 2,560
| 32
| 36
| 151,936
|
Language Model
|
[]
|
['text-generation', 'question-answering', 'code-generation', 'reasoning', 'conversation']
|
['English', 'Spanish', 'French', 'German', 'Russian', 'Arabic', 'Multilingual']
|
['Production', 'Creative Writing']
|
{}
| 68
|
Medium
| 0.68
|
2025-10-29T02:31:26.621674
|
library_name: transformers license: apache-2.0 license_link: https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507/blob/main/LICENSE pipeline_tag: text-generation <a href="https://chat.qwen.ai" target="_...
|
['RAG Support', 'Safety Aligned']
|
Alibaba-NLP/Tongyi-DeepResearch-30B-A3B
|
Tongyi-DeepResearch-30B-A3B
|
Alibaba-NLP
|
2025-09-16T06:56:49+00:00
| 15,866
| 709
|
transformers
|
['transformers', 'safetensors', 'qwen3_moe', 'text-generation', 'conversational', 'en', 'license:apache-2.0', 'autotrain_compatible', 'endpoints_compatible', 'region:us']
| 18
| 994
|
Qwen3MoeForCausalLM
|
qwen3_moe
| 2,727,084,032
| 131,072
| 2,048
| 32
| 48
| 151,936
|
Language Model
|
['RLHF']
|
['text-generation', 'question-answering', 'reasoning']
|
['English', 'Chinese', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['Research', 'Production', 'Education']
|
{}
| 70
|
Medium
| 0.7
|
2025-10-29T02:31:26.843613
|
license: apache-2.0 language: - en pipeline_tag: text-generation library_name: transformers We present **Tongyi DeepResearch**, an agentic large language model featuring 30 billion total parameters, ...
|
['RAG Support']
|
ibm-granite/granite-4.0-350m-base
|
granite-4.0-350m-base
|
ibm-granite
|
2025-10-07T20:25:24+00:00
| 19
| 18
|
transformers
|
['transformers', 'safetensors', 'granitemoehybrid', 'text-generation', 'language', 'granite-4.0', 'license:apache-2.0', 'autotrain_compatible', 'endpoints_compatible', 'region:us']
| 18
| 995
|
GraniteMoeHybridForCausalLM
|
granitemoehybrid
| 455,081,984
| 32,768
| 1,024
| 16
| 28
| 100,352
|
Language Model
|
['LoRA', 'Specialized']
|
['text-generation', 'question-answering', 'text-classification', 'summarization']
|
['English', 'Chinese', 'Korean', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic', 'Multilingual']
|
['Research', 'Education']
|
{}
| 86
|
Easy
| 0.86
|
2025-10-29T02:31:27.181589
|
license: apache-2.0 library_name: transformers tags: - language - granite-4.0 **Model Summary:** Granite-4.0-350M-Base is a lightweight decoder-only language model designed for scenarios where efficie...
|
['Long Context', 'Fast Inference', 'Safety Aligned']
|
Qwen/Qwen3-0.6B
|
Qwen3-0.6B
|
Qwen
|
2025-04-27T03:40:08+00:00
| 7,303,549
| 739
|
transformers
|
['transformers', 'safetensors', 'qwen3', 'text-generation', 'conversational', 'arxiv:2505.09388', 'base_model:Qwen/Qwen3-0.6B-Base', 'base_model:finetune:Qwen/Qwen3-0.6B-Base', 'license:apache-2.0', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'region:us']
| 17
| 996
|
Qwen3ForCausalLM
|
qwen3
| 507,904,000
| 40,960
| 1,024
| 16
| 28
| 151,936
|
Language Model
|
[]
|
['text-generation', 'question-answering', 'translation', 'code-generation', 'reasoning', 'conversation']
|
['English', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic', 'Multilingual']
|
['Production', 'Creative Writing']
|
{}
| 78
|
Medium
| 0.78
|
2025-10-29T02:31:27.464701
|
library_name: transformers license: apache-2.0 license_link: https://huggingface.co/Qwen/Qwen3-0.6B/blob/main/LICENSE pipeline_tag: text-generation base_model: - Qwen/Qwen3-0.6B-Base <a href="https://...
|
['Fast Inference', 'Multi-turn', 'Safety Aligned']
|
inference-net/Schematron-3B
|
Schematron-3B
|
inference-net
|
2025-08-21T19:15:21+00:00
| 1,927,465
| 92
|
transformers
|
['transformers', 'safetensors', 'llama', 'text-generation', 'conversational', 'base_model:meta-llama/Llama-3.2-3B-Instruct', 'base_model:finetune:meta-llama/Llama-3.2-3B-Instruct', 'license:llama3.2', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'region:us']
| 17
| 997
|
LlamaForCausalLM
|
llama
| 3,564,896,256
| 131,072
| 3,072
| 24
| 28
| 128,256
|
Language Model
|
['Specialized']
|
['text-generation', 'question-answering', 'code-generation']
|
['English', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic']
|
['Production', 'Legal']
|
{}
| 86
|
Easy
| 0.86
|
2025-10-29T02:31:27.807187
|
library_name: transformers license: llama3.2 base_model: meta-llama/Llama-3.2-3B-Instruct <p align="center"> <img alt="Schematron" src="https://huggingface.co/inference-net/Schematron-3B/resolve/main/...
|
['Long Context', 'Fast Inference', 'Safety Aligned']
|
Qwen/Qwen3-8B
|
Qwen3-8B
|
Qwen
|
2025-04-27T03:42:21+00:00
| 2,190,201
| 703
|
transformers
|
['transformers', 'safetensors', 'qwen3', 'text-generation', 'conversational', 'arxiv:2309.00071', 'arxiv:2505.09388', 'base_model:Qwen/Qwen3-8B-Base', 'base_model:finetune:Qwen/Qwen3-8B-Base', 'license:apache-2.0', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'region:us']
| 16
| 998
|
Qwen3ForCausalLM
|
qwen3
| 7,870,087,168
| 40,960
| 4,096
| 32
| 36
| 151,936
|
Language Model
|
[]
|
['text-generation', 'question-answering', 'translation', 'code-generation', 'reasoning', 'conversation']
|
['English', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic', 'Multilingual']
|
['Production', 'Creative Writing']
|
{}
| 81
|
Medium
| 0.81
|
2025-10-29T02:31:28.268366
|
library_name: transformers license: apache-2.0 license_link: https://huggingface.co/Qwen/Qwen3-8B/blob/main/LICENSE pipeline_tag: text-generation base_model: - Qwen/Qwen3-8B-Base <a href="https://chat...
|
['RAG Support', 'Long Context', 'Fast Inference', 'Multi-turn', 'Safety Aligned']
|
Qwen/Qwen2.5-7B-Instruct
|
Qwen2.5-7B-Instruct
|
Qwen
|
2024-09-16T11:55:40+00:00
| 7,844,801
| 839
|
transformers
|
['transformers', 'safetensors', 'qwen2', 'text-generation', 'chat', 'conversational', 'en', 'arxiv:2309.00071', 'arxiv:2407.10671', 'base_model:Qwen/Qwen2.5-7B', 'base_model:finetune:Qwen/Qwen2.5-7B', 'license:apache-2.0', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'region:us']
| 15
| 999
|
Qwen2ForCausalLM
|
qwen2
| 4,860,936,192
| 32,768
| 3,584
| 28
| 28
| 152,064
|
Language Model
|
['Specialized']
|
['text-generation', 'question-answering', 'code-generation', 'conversation']
|
['English', 'Chinese', 'Korean', 'Japanese', 'Spanish', 'French', 'German', 'Russian', 'Arabic', 'Multilingual']
|
['Production']
|
{}
| 86
|
Easy
| 0.86
|
2025-10-29T02:31:28.533122
|
license: apache-2.0 license_link: https://huggingface.co/Qwen/Qwen2.5-7B-Instruct/blob/main/LICENSE language: - en pipeline_tag: text-generation base_model: Qwen/Qwen2.5-7B tags: - chat library_name: ...
|
['Long Context', 'Fast Inference', 'Safety Aligned']
|
meta-llama/Llama-3.2-3B-Instruct
|
Llama-3.2-3B-Instruct
|
meta-llama
|
2024-09-18T15:19:20+00:00
| 1,901,332
| 1,784
|
transformers
|
['transformers', 'safetensors', 'llama', 'text-generation', 'facebook', 'meta', 'pytorch', 'llama-3', 'conversational', 'en', 'de', 'fr', 'it', 'pt', 'hi', 'es', 'th', 'arxiv:2204.05149', 'arxiv:2405.16406', 'license:llama3.2', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible', 'region:us']
| 15
| 1,000
|
Unknown
|
unknown
| null | null | null | null | null | null |
General Language Model
|
[]
|
['text-generation']
|
['English']
|
['General Purpose']
|
{}
| 40
|
Critical
| 0.4
|
2025-10-29T02:31:29.827396
|
No README available
|
[]
|
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