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noneUsername/Mistral-Nemo-Prism-12B-v7-W8A8-Dynamic-Per-Token
Mistral-Nemo-Prism-12B-v7-W8A8-Dynamic-Per-Token is a machine learning model from noneUsername. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
vllm (pretrained=/root/autodl-tmp/output1,addbostoken=true,tensorparallelsize=2,maxmodellen=2048), genkwargs: (None), limit: 250.0, numfewshot: 5, batchsize: auto
Downloads · 30 days
19
44% of all-time downloads
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.safetensors13.6 GB · 100%
How the weights are stored.
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From the Hugging Face model README
vllm (pretrained=/root/autodl-tmp/output1,add_bos_token=true,tensor_parallel_size=2,max_model_len=2048), gen_kwargs: (None), limit: 250.0, num_fewshot: 5, batch_size: auto
| Tasks | Version | Filter | n-shot | Metric | Value | Stderr | ||
|---|---|---|---|---|---|---|---|---|
| gsm8k | 3 | flexible-extract | 5 | exact_match | ↑ | 0.724 | ± | 0.0283 |
| strict-match | 5 | exact_match | ↑ | 0.716 | ± | 0.0286 |
vllm (pretrained=/root/autodl-tmp/Mistral-Nemo-Prism-12B-v7,add_bos_token=true,tensor_parallel_size=2,max_model_len=2048), gen_kwargs: (None), limit: 250.0, num_fewshot: 5, batch_size: auto
| Tasks | Version | Filter | n-shot | Metric | Value | Stderr | ||
|---|---|---|---|---|---|---|---|---|
| gsm8k | 3 | flexible-extract | 5 | exact_match | ↑ | 0.708 | ± | 0.0288 |
| strict-match | 5 | exact_match | ↑ | 0.708 | ± | 0.0288 |