Downloads · 30 days
16
2% of all-time downloads
VPTQ-community/Qwen2.5-7B-Instruct-v8-k256-256-woft
Qwen2.5-7B-Instruct-v8-k256-256-woft is a machine learning model from VPTQ-community. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as other.
Downloads · 30 days
16
2% of all-time downloads
All-time downloads
669
Public
Parameters
1.5B
7.7 GB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors3.8 GB · 100%
How the weights are stored.
BF161.1B · 73%
From the Hugging Face model README
Disclaimer:
The model is reproduced based on the paper VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models github and arXiv
The model itself is sourced from a community release.
It is intended only for experimental purposes.
Users are responsible for any consequences arising from the use of this model.
Note:
The PPL test results are for reference only and were collected using GPTQ testing script.
{
"ctx_2048": {
"wikitext2": 14.860952377319336
},
"ctx_4096": {
"wikitext2": 14.15161418914795
},
"ctx_8192": {
"wikitext2": 14.076845169067383
}
}