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PROUDLY PRESENTS
Acolyte-22B-exl2-longcal
Quantized using 115 rows of 8192 tokens from the default ExLlamav2-calibration dataset.
Branches:
main
--measurement.json
- 8b8h -- 8bpw, 8bit lm_head
- 4.63b6h -- 4.63bpw, 6bit lm_head
- 3.09b6h -- 3.09bpw, 6bit lm_head
- 2.32b6h -- 2.32bpw, 6bit lm_head
Original model link: rAIfle/Acolyte-22B
Original model README below.
Acolyte-22B
LoRA of a bunch of random datasets on top of Mistral-Small-Instruct-2409, then SLERPed onto base at 0.5. Decent enough for its size. Check the LoRA for dataset info.
Use Mistral V2 & V3
template.
Model tree for Quant-Cartel/Acolyte-22B-exl2-longcal
Base model
rAIfle/Acolyte-22B