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Update README.md
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README.md
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@@ -3,6 +3,7 @@ base_model:
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- TouchNight/Ministral-8B-Instruct-2410-HF
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It is worth noting that compared with the prince-canuma version, this version is smaller in size after quantization and its accuracy is also improved by one percentage point.
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vllm (pretrained=/root/autodl-tmp/Ministral-8B-Instruct-2410-HF,add_bos_token=true,tensor_parallel_size=2,max_model_len=2048,dtype=float16), gen_kwargs: (None), limit: 250.0, num_fewshot: 5, batch_size: auto
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|Tasks|Version| Filter |n-shot| Metric | |Value| |Stderr|
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- TouchNight/Ministral-8B-Instruct-2410-HF
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---
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It is worth noting that compared with the prince-canuma version, this version is smaller in size after quantization and its accuracy is also improved by one percentage point.
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In my ERP testing, this model did perform better.
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vllm (pretrained=/root/autodl-tmp/Ministral-8B-Instruct-2410-HF,add_bos_token=true,tensor_parallel_size=2,max_model_len=2048,dtype=float16), gen_kwargs: (None), limit: 250.0, num_fewshot: 5, batch_size: auto
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|Tasks|Version| Filter |n-shot| Metric | |Value| |Stderr|
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