Luca-MN-iMat-GGUF

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PROUDLY PRESENTS         

Luca-MN-iMat-GGUF

Quantized with love from fp32.

• Importance Matrix calculated using groups_merged.txt
• 92 chunks
• n_ctx=512
• Importance Matrix uses fp32 precision model weights, fp32.imatrix file to be added in repo

Original model README here and below:

Luca-MN-iMat-GGUF

This thing was just intended as an experiment but it turned out quite good. I had it both name and prompt imagegen for itself.

Created by running a high-r LoRA-pass over Nemo-Base with 2 epochs of some RP data, then a low-r pass with 0.5 epochs of the c2-data, then 3 epochs of DPO using jondurbin/gutenberg-dpo-v0.1.

Prompting

Use the Mistral V3-Tekken context- and instruct-templates. Temperature at about 1.25 seems to be the sweet spot, with either MinP at 0.05 or TopP at 0.9. DRY/Smoothing etc depending on your preference.