A Fishy Model
qwen-carpmuscle-r-v0.3 was made using Rombodawg's Shared Continuous Finetuning method.
qwen-carpmuscle-v0.3 was made using Unsloth's continuous pretraining on the ChatML format with 24k context on (unsloth/Qwen2.5-14B-bnb-4bit)[https://huggingface.co/unsloth/Qwen2.5-14B-bnb-4bit]. Then qwen-carpmuscle-v0.3 was merged with Qwen/Qwen2.5-14B-Instruct and Qwen/Qwen2.5-14B using TIES to create this model.
This is a merge of pre-trained language models created using mergekit.
Configuration
The following YAML configuration was used to produce this model:
models:
    - model: qwen-carpmuscle-v0.3
      parameters:
        weight: 1
        density: 1
    - model: Qwen/Qwen2.5-14B-Instruct
      parameters:
        weight: 1
        density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-14B
parameters:
    weight: 1
    density: 1
    normalize: true
    int8_mask: true
tokenizer_source: qwen-carpmuscle-v0.3
dtype: bfloat16
- Developed by: TheTsar1209
 - License: apache-2.0
 - Finetuned from model : unsloth/Qwen2.5-14B-bnb-4bit
 
This qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value | 
|---|---|
| Avg. | 31.52 | 
| IFEval (0-Shot) | 44.55 | 
| BBH (3-Shot) | 46.38 | 
| MATH Lvl 5 (4-Shot) | 27.19 | 
| GPQA (0-shot) | 13.42 | 
| MuSR (0-shot) | 12.00 | 
| MMLU-PRO (5-shot) | 45.59 | 
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Model tree for TheTsar1209/qwen-carpmuscle-r-v0.3
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard44.550
 - normalized accuracy on BBH (3-Shot)Open LLM Leaderboard46.380
 - exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard27.190
 - acc_norm on GPQA (0-shot)Open LLM Leaderboard13.420
 - acc_norm on MuSR (0-shot)Open LLM Leaderboard12.000
 - accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard45.590
 
