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README.md
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base_model: []
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library_name: transformers
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tags:
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- mergekit
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- merge
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# Untitled Model (1)
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* /home/LAB/yangzz/rank/Tsunami-0.5-7B-Instruct-model-nm-32-128-fq-first/
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* /home/LAB/yangzz/rank/fq2.5-7b-it-normalize_true-model-nm-32-128-fq-first/
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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models:
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- model: /home/LAB/yangzz/rank/Tsunami-0.5-7B-Instruct-model-nm-32-128-fq-first/
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parameters:
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weight: 0.55
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- model: /home/LAB/yangzz/rank/fq2.5-7b-it-normalize_true-model-nm-32-128-fq-first/
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parameters:
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weight: 0.5
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merge_method: task_arithmetic
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dtype: bfloat16
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base_model: /home/LAB/yangzz/rank/Qwen2.5-7B-Instrust/
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```
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This model is a merged model based on [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) using a novel model merging technique.
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## **Performance (Self-Tested on A100)**
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The following results are obtained using **batch_size=6** on an A100 GPU. Official results are pending submission to `open_llm_leaderboard`.
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| IFEVAL | BBH | MATH | GPQA | MUSR | MMLU-PRO | AVG |
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|--------|------|------|------|------|----------|-------|
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| 75.21 | 36.03 | 48.87 | 7.61 | 15.37 | 37.8 | 36.815 |
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**Note**: These results will be updated once officially verified.
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## **Recipe Coming Soon**
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We will release details on the merging technique and methodology soon. Stay tuned! 🚀
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