Downloads · 30 days
13
20% of all-time downloads
noneUsername/Ministral-8B-Instruct-2410-HF-W8A8-Dynamic-Per-Token
Ministral-8B-Instruct-2410-HF-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/Ministral-8B-Instruct-2410-HF,addbostoken=true,tensorparallelsize=2,maxmodellen=2048,dtype=bfloat16), genkwargs: (None), limit: 250.0, numfewshot: 5, batchsize: auto
Downloads · 30 days
13
20% of all-time downloads
All-time downloads
64
Public
Parameters
8B
11.3 GB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors11.2 GB · 100%
How the weights are stored.
I86.9B · 87%
From the Hugging Face model README
vllm (pretrained=/root/autodl-tmp/Ministral-8B-Instruct-2410-HF,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 | ↑ | 0.8 | ± | 0.0253 |
| strict-match | 5 | exact_match | ↑ | 0.8 | ± | 0.0253 |
vllm (pretrained=/root/autodl-tmp/Ministral-8B-Instruct-2410-HF,add_bos_token=true,tensor_parallel_size=2,max_model_len=2048,dtype=float32), 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 | ↑ | 0.796 | ± | 0.0255 |
| strict-match | 5 | exact_match | ↑ | 0.796 | ± | 0.0255 |
vllm (pretrained=/root/autodl-tmp/Ministral-8B-Instruct-2410-HF,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 | ↑ | 0.8 | ± | 0.0253 |
| strict-match | 5 | exact_match | ↑ | 0.8 | ± | 0.0253 |
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 | ↑ | 0.8 | ± | 0.0253 |
| strict-match | 5 | exact_match | ↑ | 0.8 | ± | 0.0253 |
vllm (pretrained=/root/autodl-tmp/output,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 | ↑ | 0.8 | ± | 0.0253 |
| strict-match | 5 | exact_match | ↑ | 0.8 | ± | 0.0253 |