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noneUsername/Mistral-Nemo-Instruct-2407-abliterated-W8A8-Dynamic-Per-Token
Mistral-Nemo-Instruct-2407-abliterated-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/Mistral-Nemo-Instruct-2407-abliterated,addbostoken=true,tensorparallelsize=2,maxmodellen=2048,dtype=bfloat16), genkwargs: (None), limit: 250.0, numfewshot: 5, batchsize: auto
Downloads · 30 days
5
5% of all-time downloads
All-time downloads
98
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Parameters
12.2B
13.6 GB on disk
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.safetensors13.6 GB · 100%
How the weights are stored.
I810.9B · 89%
From the Hugging Face model README
vllm (pretrained=/root/autodl-tmp/Mistral-Nemo-Instruct-2407-abliterated,add_bos_token=true,tensor_parallel_size=2,max_model_len=2048,dtype=bfloat16), 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 | ↑ | 0.792 | ± | 0.0257 |
| strict-match | 5 | exact_match | ↑ | 0.764 | ± | 0.0269 |
vllm (pretrained=/root/autodl-tmp/output,add_bos_token=true,tensor_parallel_size=2,max_model_len=2048,dtype=bfloat16), 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 | ↑ | 0.812 | ± | 0.0248 |
| strict-match | 5 | exact_match | ↑ | 0.792 | ± | 0.0257 |