Downloads · 30 days
5
15% of all-time downloads
noneUsername/Replete-LLM-V2.5-Qwen-14b-W8A8-Dynamic-Per-Token
Replete-LLM-V2.5-Qwen-14b-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), genkwargs: (None), limit: 250.0, numfewshot: 5, batchsize: auto
Downloads · 30 days
5
15% of all-time downloads
All-time downloads
34
Public
Parameters
14.8B
16.3 GB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors16.3 GB · 100%
How the weights are stored.
I813.2B · 89%
From the Hugging Face model README
vllm (pretrained=/root/autodl-tmp/output,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 | ↑ | 0.556 | ± | 0.0315 |
| strict-match | 5 | exact_match | ↑ | 0.832 | ± | 0.0237 |
vllm (pretrained=/root/autodl-tmp/Replete-LLM-V2.5-Qwen-14b,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 | ↑ | 0.528 | ± | 0.0316 |
| strict-match | 5 | exact_match | ↑ | 0.844 | ± | 0.0230 |