Lyra4-Gutenberg-12B - EXL2 8bpw max rpcal_mk2
This is a 8bpw EXL2 quant of nbeerbower/Lyra4-Gutenberg-12B
This quant was made using exllamav2-0.2.1 with Fullmoon-light dataset for RP. I used a slightly modified quantization script to force use of highest bpw methods for all layers in the model (which is usually "1:8b_128g s4") to ensure max quality.
I also added a small fix in config file to set max default context at 128k as original Mistral-Nemo should have.
I tested this quant shortly in some random RPs (including ones over 8k context) and it seems to work fine.
Prompt Templates
Uses ChatML or modified mistral format like mentioned in original Lyra v4. I tested it with ChatML.
Original readme below
Lyra4-Gutenberg-12B
Sao10K/MN-12B-Lyra-v4 finetuned on jondurbin/gutenberg-dpo-v0.1.
Method
ORPO Finetuned using an RTX 3090 + 4060 Ti for 3 epochs.
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Model tree for DeusImperator/Lyra4-Gutenberg-12B_exl2_8bpw_max_rpcal_mk2
Base model
Sao10K/MN-12B-Lyra-v4