Interim-MN-iMat-GGUF

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PROUDLY PRESENTS         

Interim-MN-iMat-GGUF

Quantized with love from fp16.

Original model author: rAIfle

• Importance Matrix calculated using groups_merged.txt in 92 chunks, n_ctx=512, and fp16 precision weights

Original model README here and below:

<img src="https://huggingface.co/rAIfle/Interim-MN-fp16/resolve/main/interim-1.png" width="600"/>

This one was a doozy. Three restarted runs of which one failed at the last possible moment... Anyway, the result is decent enough and passes my own Nala-testing so it's not too bad. Not gonna benchmark this myself but if anyone feels the need to then I'd be happy to include numbers here.

Probably best if using normal Nemo settings, no weird stuff. (Or just use the recommended ones in the Recommended Settings repo)