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--- |
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library_name: transformers |
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license: apache-2.0 |
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pipeline_tag: text-generation |
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--- |
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Converted version of [Qwen2.5-Coder-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct) to 4-bit using bitsandbytes. For more information about the model, |
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refer to the model's page. |
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## Impact on performance |
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Impact of quantization on a set of models. |
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We evaluated the models using the **PoLL (Pool of LLM)** technique a panel of giga-models (GPT-4o, Gemini Pro 1.5, and Claude-Sonnet 3.5). The scoring ranged from 0, |
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indicating a model unsuitable for the task, to 5, representing a model that fully met expectations. The evaluation was based on 67 instructions across four programming |
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languages: Python, Java, JavaScript, and Pseudo-code. All tests were conducted in a French-language context, and models were heavily penalized if they responded in |
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another language, even if the response was technically correct. |
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Performance Scores (on a scale of 5): |
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| Model | Score | # params (Billion) | size (GB) | |
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|---------------------------------------------:|:--------:|:------------------:|:---------:| |
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| gemini-1.5-pro | 4.51 | NA | NA | |
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| gpt-4o | 4.51 | NA | NA | |
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| claude3.5-sonnet | 4.49 | NA | NA | |
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| deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct | 4.24 | 15.7 | 31.4 | |
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| meta-llama/Meta-Llama-3.1-70B-Instruct | 4.23 | 70.06 | 141.2 | |
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| cmarkea/Meta-Llama-3.1-70B-Instruct-4bit | 4.14 | 70.06 | 35.3 | |
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| Qwen/Qwen2.5-Coder-7B-Instruct | 4.11 | 7.62 | 15.24 | |
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| **cmarkea/Qwen2.5-Coder-7B-Instruct-4bit** | **4.08** | **7.62** | **3.81** | |
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| cmarkea/Mixtral-8x7B-Instruct-v0.1-4bit | 3.8 | 46.7 | 23.35 | |
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| meta-llama/Meta-Llama-3.1-8B-Instruct | 3.73 | 8.03 | 16.06 | |
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| mistralai/Mixtral-8x7B-Instruct-v0.1 | 3.33 | 46.7 | 93.4 | |
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| codellama/CodeLlama-13b-Instruct-hf | 3.33 | 13 | 26 | |
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| codellama/CodeLlama-34b-Instruct-hf | 3.27 | 33.7 | 67.4 | |
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| codellama/CodeLlama-7b-Instruct-hf | 3.19 | 6.74 | 13.48 | |
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| cmarkea/CodeLlama-34b-Instruct-hf-4bit | 3.12 | 33.7 | 16.35 | |
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| codellama/CodeLlama-70b-Instruct-hf | 1.82 | 69 | 138 | |
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| cmarkea/CodeLlama-70b-Instruct-hf-4bit | 1.64 | 69 | 34.5 | |
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The impact of quantization is negligible. |
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## Prompt Pattern |
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Here is a reminder of the command pattern to interact with the model: |
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```verbatim |
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<|im_start|>user\n{user_prompt_1}<|im_end|><|im_start|>assistant\n{model_answer_1}<|im_end|>... |
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``` |
