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PROUDLY PRESENTS
Mistral-Small-NovusKyver-exl2-longcal
Quantized using 115 rows of 8192 tokens from the default ExLlamav2-calibration dataset.
Branches:
main
--measurement.json
8b8h
-- 8bpw, 8bit lm_head6b6h
-- 6bpw, 6bit lm_head5b6h
-- 5bpw, 6bit lm_head4b6h
-- 4bpw, 6bit lm_head3.5b6h
-- 3.5bpw, 6bit lm_head2.25b6h
-- 2.25bpw, 6bit lm_head
Original model link: Envoid/Mistral-Small-NovusKyver
Original model README below.
Warning this model can be a bit unpredictable regarding adult content.
Mistral-Small-NovusKyver started out as mistralai/Mistral-Small-Instruct-2409
I ran a fairly strong LoRA on it using a private raw-text dataset. The results were 'overcooked' so I did a 50/50 SLERP merge back onto the original model and this is the result of that merge.
Use Cases:
The output is definitely more interesting. As an assistant with a system message such as "You will provide the user with interesting and thought provoking responses."
It also has interesting output in some RP scenarios with the following caveats:
-Any mention of consent or NSFW in the prompt will cause it to run away with producing adult content.
-It tends to run away with its turn when using a highly structured prompt while giving short, boring responses, with a relatively minimalist prompt.
-Creative writing by instruct.
It utilises the Mistral Instruct prompt format.
Model tree for Quant-Cartel/Mistral-Small-NovusKyver-exl2-longcal
Base model
Envoid/Mistral-Small-NovusKyver