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solar-pro-preview-instruct-W8A8-Dynamic-Per-Token
noneUsername/solar-pro-preview-instruct-W8A8-Dynamic-Per-Token
solar-pro-preview-instruct-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/output,addbostoken=true,tensorparallelsize=2,maxmodellen=2048,gpumemoryutilization=0.97,enforceeager=true), genkwargs: (None), limit: 250.0, numfewshot: 5, batchsize: auto
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.safetensors22.5 GB · 100%
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I821.8B · 98%
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From the Hugging Face model README
vllm (pretrained=/root/autodl-tmp/output,add_bos_token=true,tensor_parallel_size=2,max_model_len=2048,gpu_memory_utilization=0.97,enforce_eager=true), 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 | ↑ | 0.872 | ± | 0.0212 |
| strict-match | 5 | exact_match | ↑ | 0.860 | ± | 0.0220 |
Since the transformers library lacks solar-related definitions, I edited the py files in the transformers library to complete the quantization. The changed files and the versions of the transformers library are detailed in the zip archive.
- Type
- solar
- Created
- Oct 5, 2024
- Updated
- Oct 5, 2024