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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: |
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- Qwen/Qwen2.5-32B-Instruct |
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pipeline_tag: text-generation |
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--- |
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Converted version of [Qwen2.5-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-32B-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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Evaluation of the model was conducted using the PoLL (Pool of LLM) technique, assessing performance on **100 French questions** with scores aggregated from six evaluations |
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(two per evaluator). The evaluators included GPT-4o, Gemini-1.5-pro, and Claude3.5-sonnet. |
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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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| gpt-4o | 4.13 | N/A | N/A | |
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| gpt-4o-mini | 4.02 | N/A | N/A | |
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| Qwen/Qwen2.5-32B-Instruct | 3.99 | 32.8 | 65.6 | |
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| **cmarkea/Qwen2.5-32B-Instruct-4bit** | **3.98** | **32.8** | **16.4** | |
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| mistralai/Mixtral-8x7B-Instruct-v0.1 | 3.71 | 46.7 | 93.4 | |
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| cmarkea/Mixtral-8x7B-Instruct-v0.1-4bit | 3.68 | 46.7 | 23.35 | |
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| meta-llama/Meta-Llama-3.1-70B-Instruct | 3.68 | 70.06 | 140.12 | |
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| gpt-3.5-turbo | 3.66 | 175 | 350 | |
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| cmarkea/Meta-Llama-3.1-70B-Instruct-4bit | 3.64 | 70.06 | 35.3 | |
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| TheBloke/Mixtral-8x7B-Instruct-v0.1-GPTQ | 3.56 | 46.7 | 46.7 | |
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| meta-llama/Meta-Llama-3.1-8B-Instruct | 3.25 | 8.03 | 16.06 | |
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| mistralai/Mistral-7B-Instruct-v0.2 | 1.98 | 7.25 | 14.5 | |
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| cmarkea/bloomz-7b1-mt-sft-chat | 1.69 | 7.07 | 14.14 | |
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| cmarkea/bloomz-3b-dpo-chat | 1.68 | 3 | 6 | |
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| cmarkea/bloomz-3b-sft-chat | 1.51 | 3 | 6 | |
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| croissantllm/CroissantLLMChat-v0.1 | 1.19 | 1.3 | 2.7 | |
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| cmarkea/bloomz-560m-sft-chat | 1.04 | 0.56 | 1.12 | |
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| OpenLLM-France/Claire-Mistral-7B-0.1 | 0.38 | 7.25 | 14.5 | |
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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|>\n<|im_start|>assistant\n{model_answer_1}... |
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``` |
