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noneUsername/magnum-v4-22b-W8A8-Dynamic-Per-Token
magnum-v4-22b-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/magnum-v4-22b-W8A8,addbostoken=true,tensorparallelsize=2,maxmodellen=2048,dtype=bfloat16), genkwargs: (None), limit: 250.0, numfewshot: 5, batchsize: auto
Downloads · 30 days
7
26% of all-time downloads
All-time downloads
27
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22.3B
22.7 GB on disk
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.safetensors22.7 GB · 100%
How the weights are stored.
I821.8B · 98%
From the Hugging Face model README
vllm (pretrained=/root/autodl-tmp/magnum-v4-22b-W8A8,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 | ↑ | 0.844 | ± | 0.023 |
| strict-match | 5 | exact_match | ↑ | 0.808 | ± | 0.025 |
vllm (pretrained=/root/autodl-tmp/magnum-v4-22b-W8A8,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
| Tasks | Version | Filter | n-shot | Metric | Value | Stderr | ||
|---|---|---|---|---|---|---|---|---|
| gsm8k | 3 | flexible-extract | 5 | exact_match | ↑ | 0.840 | ± | 0.0232 |
| strict-match | 5 | exact_match | ↑ | 0.804 | ± | 0.0252 |