Downloads · 30 days
18
4% of all-time downloads
VPTQ-community/Meta-Llama-3.1-70B-Instruct-v8-k65536-256-woft
Meta-Llama-3.1-70B-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 llama3.1.
Downloads · 30 days
18
4% of all-time downloads
All-time downloads
426
Public
Parameters
8.8B
58.9 GB on disk
Likes
1
Public
Click a slice to open those files.
.safetensors30.5 GB · 100%
How the weights are stored.
I326.4B · 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": 4.86280632019043
},
"ctx_4096": {
"wikitext2": 4.600788593292236
},
"ctx_8192": {
"wikitext2": 4.505762577056885
}
}