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  1. README.md +4 -4
  2. config.json +8 -2
  3. generation_config.json +1 -1
README.md CHANGED
@@ -5,7 +5,7 @@ tags:
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  - safetensors
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  ---
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- # Model Card for PrunaAI/test-save-tiny-random-llama4-smashed
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  This model was created using the [pruna](https://github.com/PrunaAI/pruna) library. Pruna is a model optimization framework built for developers, enabling you to deliver more efficient models with minimal implementation overhead.
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@@ -17,7 +17,7 @@ First things first, you need to install the pruna library:
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  pip install pruna
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  ```
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- You can [use the transformers library to load the model](https://huggingface.co/PrunaAI/test-save-tiny-random-llama4-smashed?library=transformers) but this might not include all optimizations by default.
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  To ensure that all optimizations are applied, use the pruna library to load the model using the following code:
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@@ -25,7 +25,7 @@ To ensure that all optimizations are applied, use the pruna library to load the
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  from pruna import PrunaModel
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  loaded_model = PrunaModel.from_pretrained(
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- "PrunaAI/test-save-tiny-random-llama4-smashed"
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  )
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  # we can then run inference using the methods supported by the base model
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  ```
@@ -71,5 +71,5 @@ The compression configuration of the model is stored in the `smash_config.json`
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  [![Twitter](https://img.shields.io/twitter/follow/PrunaAI?style=social)](https://twitter.com/PrunaAI)
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  [![GitHub](https://img.shields.io/github/followers/PrunaAI?label=Follow%20%40PrunaAI&style=social)](https://github.com/PrunaAI)
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  [![LinkedIn](https://img.shields.io/badge/LinkedIn-Connect-blue)](https://www.linkedin.com/company/93832878/admin/feed/posts/?feedType=following)
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- [![Discord](https://img.shields.io/badge/Discord-Join%20Us-blue?style=social&logo=discord)](https://discord.com/invite/rskEr4BZJx)
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  [![Reddit](https://img.shields.io/reddit/subreddit-subscribers/PrunaAI?style=social)](https://www.reddit.com/r/PrunaAI/)
 
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  - safetensors
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  ---
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+ # Model Card for pruna-test/test-save-tiny-random-llama4-smashed
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  This model was created using the [pruna](https://github.com/PrunaAI/pruna) library. Pruna is a model optimization framework built for developers, enabling you to deliver more efficient models with minimal implementation overhead.
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  pip install pruna
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  ```
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+ You can [use the transformers library to load the model](https://huggingface.co/pruna-test/test-save-tiny-random-llama4-smashed?library=transformers) but this might not include all optimizations by default.
21
 
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  To ensure that all optimizations are applied, use the pruna library to load the model using the following code:
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  from pruna import PrunaModel
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  loaded_model = PrunaModel.from_pretrained(
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+ "pruna-test/test-save-tiny-random-llama4-smashed"
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  )
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  # we can then run inference using the methods supported by the base model
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  ```
 
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  [![Twitter](https://img.shields.io/twitter/follow/PrunaAI?style=social)](https://twitter.com/PrunaAI)
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  [![GitHub](https://img.shields.io/github/followers/PrunaAI?label=Follow%20%40PrunaAI&style=social)](https://github.com/PrunaAI)
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  [![LinkedIn](https://img.shields.io/badge/LinkedIn-Connect-blue)](https://www.linkedin.com/company/93832878/admin/feed/posts/?feedType=following)
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+ [![Discord](https://img.shields.io/badge/Discord-Join%20Us-blue?style=social&logo=discord)](https://discord.gg/JFQmtFKCjd)
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  [![Reddit](https://img.shields.io/reddit/subreddit-subscribers/PrunaAI?style=social)](https://www.reddit.com/r/PrunaAI/)
config.json CHANGED
@@ -8,7 +8,6 @@
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  "attn_scale": 0.1,
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  "attn_temperature_tuning": 4,
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  "bos_token_id": 200000,
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- "cache_implementation": "hybrid",
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  "eos_token_id": [
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  200001,
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  200007,
@@ -23,6 +22,13 @@
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  "interleave_moe_layer_step": 1,
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  "intermediate_size": 32,
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  "intermediate_size_mlp": 64,
 
 
 
 
 
 
 
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  "max_position_embeddings": 10485760,
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  "model_type": "llama4_text",
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  "moe_layers": [
@@ -59,7 +65,7 @@
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  "router_jitter_noise": 0.0,
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  "tie_word_embeddings": false,
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  "torch_dtype": "float32",
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- "transformers_version": "4.52.3",
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  "use_cache": true,
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  "use_qk_norm": true,
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  "vocab_size": 202048
 
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  "attn_scale": 0.1,
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  "attn_temperature_tuning": 4,
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  "bos_token_id": 200000,
 
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  "eos_token_id": [
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  200001,
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  200007,
 
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  "interleave_moe_layer_step": 1,
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  "intermediate_size": 32,
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  "intermediate_size_mlp": 64,
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+ "layer_types": [
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+ "chunked_attention",
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+ "chunked_attention",
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+ "chunked_attention",
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+ "full_attention",
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+ "chunked_attention"
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+ ],
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  "max_position_embeddings": 10485760,
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  "model_type": "llama4_text",
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  "moe_layers": [
 
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  "router_jitter_noise": 0.0,
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  "tie_word_embeddings": false,
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  "torch_dtype": "float32",
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+ "transformers_version": "4.53.2",
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  "use_cache": true,
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  "use_qk_norm": true,
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  "vocab_size": 202048
generation_config.json CHANGED
@@ -7,5 +7,5 @@
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  200008
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  ],
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  "pad_token_id": 200018,
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- "transformers_version": "4.52.3"
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  }
 
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  200008
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  ],
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  "pad_token_id": 200018,
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+ "transformers_version": "4.53.2"
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  }