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Update README.md
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README.md
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@@ -10,4 +10,28 @@ smoothing_strength=0.8
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I will verify the validity of the model and update the readme as soon as possible.
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edit: The performance in my ERP test was comparable to Mistral-Nemo-Instruct-2407-GPTQ-INT8, which I consider a successful quantization.
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I will verify the validity of the model and update the readme as soon as possible.
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edit: The performance in my ERP test was comparable to Mistral-Nemo-Instruct-2407-GPTQ-INT8, which I consider a successful quantization.
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lm_eval --model vllm --model_args pretrained="/mnt/e/Code/models/Mistral-Nemo-Instruct-2407-W8A8-Dynamic-Per-Token",add_bos_token=true,dtype=half,tensor_parallel_size=2,max_model_len=4096,gpu_memory_utilization=0.85,swap_space=0 --tasks gsm8k --num_fewshot 5 --limit 250 --batch_size 1
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vllm (pretrained=/mnt/e/Code/models/Mistral-Nemo-Instruct-2407-W8A8-Dynamic-Per-Token,add_bos_token=true,dtype=half,tensor_parallel_size=2,max_model_len=4096,gpu_memory_utilization=0.85,swap_space=0), gen_kwargs: (None), limit: 250.0, num_fewshot: 5, batch_size: 1
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|Tasks|Version| Filter |n-shot| Metric | |Value| |Stderr|
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|-----|------:|----------------|-----:|-----------|---|----:|---|-----:|
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|gsm8k| 3|flexible-extract| 5|exact_match|↑ |0.784|± |0.0261|
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| | |strict-match | 5|exact_match|↑ |0.768|± |0.0268|
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lm_eval --model vllm \
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l_args > --model_args pretrained="/mnt/e/Code/models/Mistral-Nemo-Instruct-2407-W8A8-Dynamic-Per-Token",add_bos_token=true,dtype=half,tensor_parallel_size=2,max_model_len=4096,gpu_memory_utilization=0.85,swap_space=0 \
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ks hellaswag \
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> --tasks hellaswag \
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> --limit 150 \
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> --num_fewshot 10 \
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--batch_size 1
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vllm (pretrained=/mnt/e/Code/models/Mistral-Nemo-Instruct-2407-W8A8-Dynamic-Per-Token,add_bos_token=true,dtype=half,tensor_parallel_size=2,max_model_len=4096,gpu_memory_utilization=0.85,swap_space=0), gen_kwargs: (None), limit: 150.0, num_fewshot: 10, batch_size: 1
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| Tasks |Version|Filter|n-shot| Metric | |Value | |Stderr|
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|---------|------:|------|-----:|--------|---|-----:|---|-----:|
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|hellaswag| 1|none | 10|acc |↑ |0.5800|± |0.0404|
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| | |none | 10|acc_norm|↑ |0.7533|± |0.0353|
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