Downloads · 30 days
356
42% of all-time downloads
VPTQ-community/Qwen2.5-7B-Instruct-v8-k65536-256-woft
Qwen2.5-7B-Instruct-v8-k65536-256-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
356
42% of all-time downloads
All-time downloads
848
Public
Parameters
1.8B
14.5 GB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors4.8 GB · 100%
How the weights are stored.
BF161.2B · 66%
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": 7.946412086486816
},
"ctx_4096": {
"wikitext2": 7.310400009155273
},
"ctx_8192": {
"wikitext2": 6.938364028930664
}
}