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PROUDLY PRESENTS         

Mistral-Small-NovusKyver-iMat-GGUF

Quantization Note: For smaller sizes (i.e. Q3/IQ3 and below) a repetition penalty of 1.05-1.15 is recommended.

Quantized with love from fp32.

Original model author: envoid

• Importance Matrix calculated using groups_merged.txt
• 105 chunks
• n_ctx=512
• Calculation uses fp32 precision model weights

Original model README here and 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.