VPTQ Mistral Large Instruct 2407 without finetune
Collection
arxiv.org/abs/2409.17066, VPTQ Mistral Large Instruct 2407 without finetune
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8 items
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Updated
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1
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": 4.797906398773193,
"c4": 7.611056804656982,
"c4-new": 8.51098346710205
},
"ctx_4096": {
"wikitext2": 4.509005069732666,
"c4": 7.219871997833252,
"c4-new": 8.102221488952637
},
"ctx_8192": {
"wikitext2": 4.364211559295654,
"c4": 5.560217380523682,
"c4-new": 8.000030517578125
}
}
Base model
mistralai/Mistral-Large-Instruct-2407