cmarkea
/

Qwen2.5-32B-Instruct-4bit

@@ -1,199 +1,46 @@
 ---
 library_name: transformers
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 ---
 library_name: transformers
+license: apache-2.0
+base_model:
+- Qwen/Qwen2.5-32B-Instruct
+pipeline_tag: text-generation
 ---
+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,
+refer to the model's page.
+## Impact on performance
+Impact of quantization on a set of models.
+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
+(two per evaluator). The evaluators included GPT-4o, Gemini-1.5-pro, and Claude3.5-sonnet.
+Performance Scores (on a scale of 5):
+| Model                                        | Score    | # params (Billion) | size (GB) |
+|---------------------------------------------:|:--------:|:------------------:|:---------:|
+| gpt-4o                                       | 4.13     | N/A                | N/A       |
+| gpt-4o-mini                                  | 4.02     | N/A                | N/A       |
+| Qwen/Qwen2.5-32B-Instruct                    | 3.99     | 32.8               | 65.6      |
+| **cmarkea/Qwen2.5-32B-Instruct-4bit**        | **3.98** | **32.8**           | **16.4**  |
+| mistralai/Mixtral-8x7B-Instruct-v0.1         | 3.71     | 46.7               | 93.4      |
+| cmarkea/Mixtral-8x7B-Instruct-v0.1-4bit      | 3.68     | 46.7               | 23.35     |
+| meta-llama/Meta-Llama-3.1-70B-Instruct       | 3.68     | 70.06              | 140.12    |
+| gpt-3.5-turbo                                | 3.66     | 175                | 350       |
+| cmarkea/Meta-Llama-3.1-70B-Instruct-4bit     | 3.64     | 70.06              | 35.3      |
+| TheBloke/Mixtral-8x7B-Instruct-v0.1-GPTQ     | 3.56     | 46.7               | 46.7      |
+| meta-llama/Meta-Llama-3.1-8B-Instruct        | 3.25     | 8.03               | 16.06     |
+| mistralai/Mistral-7B-Instruct-v0.2           | 1.98     | 7.25               | 14.5      |
+| cmarkea/bloomz-7b1-mt-sft-chat               | 1.69     | 7.07               | 14.14     |
+| cmarkea/bloomz-3b-dpo-chat                   | 1.68     | 3                  | 6         |
+| cmarkea/bloomz-3b-sft-chat                   | 1.51     | 3                  | 6         |
+| croissantllm/CroissantLLMChat-v0.1           | 1.19     | 1.3                | 2.7       |
+| cmarkea/bloomz-560m-sft-chat                 | 1.04     | 0.56               | 1.12      |
+| OpenLLM-France/Claire-Mistral-7B-0.1         | 0.38     | 7.25               | 14.5      |
+The impact of quantization is negligible.
+## Prompt Pattern
+Here is a reminder of the command pattern to interact with the model:
+```verbatim
+<|im_start|>user\n{user_prompt_1}<|im_end|>\n<|im_start|>assistant\n{model_answer_1}...
+```