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Amethyst-13B-Mistral-8bpw-hb8-exl2 – AI Model by mo137 | AlphaNeural AI
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Amethyst-13B-Mistral-8bpw-hb8-exl2
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transformers
safetensors
llama
text-generation
exllamav2
exl2
Text Generation
not-for-all-audiences
nsfw
Transformers
text-generation-inference
cc-by-nc-4.0
autotrain_compatible
endpoints_compatible
us
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Amethyst 13B Mistral - EXL2 - 8bpw, hb8
Model creator:
Undi
Original model:
Amethyst 13B Mistral
Description
8 bits per weight.
8 bits "for the lm_head (output) layer of the model," instead of the typical 6.
Works fine with 24 GB VRAM and no flash attention v2 under Windows.
For me runs at about 64% of the 4-bit GPTQ speed.
I converted the model using the convert.py script from the exllamav2 repo:
https://github.com/turboderp/exllamav2
Its documentation:
https://github.com/turboderp/exllamav2/blob/master/doc/convert.md
Measuring the model took 51 minutes, converting it 18 minutes.
I used the WikiText-2-v1 dataset for calibration:
https://huggingface.co/datasets/wikitext/blob/refs%2Fconvert%2Fparquet/wikitext-2-v1/test/0000.parquet
