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": 16.465784072875977,
        "c4": 23.362998962402344,
        "c4-new": 28.253490447998047
    },
    "ctx_4096": {
        "wikitext2": 14.906161308288574,
        "c4": 22.091983795166016,
        "c4-new": 26.17787742614746
    },
    "ctx_8192": {
        "wikitext2": 14.027444839477539,
        "c4": 15.35131549835205,
        "c4-new": 25.94689178466797
    }
}
Downloads last month

-

Downloads are not tracked for this model. How to track
Inference API
Unable to determine this model's library. Check the docs .

Model tree for VPTQ-community/Mistral-Large-Instruct-2407-v16-k65536-256-woft

Quantized
(20)
this model

Collection including VPTQ-community/Mistral-Large-Instruct-2407-v16-k65536-256-woft