Lyra4-Gutenberg-12B - EXL2 8bpw max
This is a 8bpw EXL2 quant of nbeerbower/Lyra4-Gutenberg-12B
This quant was made using exllamav2-0.2.1 with default dataset. 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.
- Downloads last month
- 17
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for DeusImperator/Lyra4-Gutenberg-12B_exl2_8bpw_max
Base model
Sao10K/MN-12B-Lyra-v4Dataset used to train DeusImperator/Lyra4-Gutenberg-12B_exl2_8bpw_max
Collection including DeusImperator/Lyra4-Gutenberg-12B_exl2_8bpw_max
Collection
8 BPW exl2 quants using modified quantization script to force using best quantization method for each layer for max quality
•
10 items
•
Updated