FantasiaFoundry

/

GGUF-Quantization-Script

like 61

For those converting LLama-3 - BPE models, you'll have to read llama.cpp/#6920 for more context.

Make sure you're in the latest llama.cpp repo commit, then run the new convert-hf-to-gguf-update.py script inside the repo, afterwards you need to manually copy the config files from llama.cpp\models\tokenizers\llama-bpe into your downloaded model folder, replacing the existing ones.

Try again and the conversion procress should work as expected.

For those converting LLama-3 - BPE models, you'll have to read llama.cpp/#6920 for more context.

Make sure you're in the latest llama.cpp repo commit, then run the new convert-hf-to-gguf-update.py script inside the repo, afterwards you need to manually copy the config files from llama.cpp\models\tokenizers\llama-bpe into your downloaded model folder, replacing the existing ones.

Try again and the conversion procress should work as expected.

I can't find any information on the issue page, do imatrix-s need to be generated again using this pr or do old imatrix files work?

Honestly that's kind of why I want to redo the quants, it's not mentioned and I'm not sure, if you can do us a favor and ask there that'd be good to know. Just to be safe I'll redo them from scratch, doesn't take that long.

It has been asked :3
I'll let you know what the answer if they respond before i fall asleep 😸

Honestly that's kind of why I want to redo the quants, it's not mentioned and I'm not sure, if you can do us a favor and ask there that'd be good to know. Just to be safe I'll redo them from scratch, doesn't take that long.

I come bearing the worst news possible :3

You will need to regenerate importance matrices since they depend on how the input text was tokenized.

here

Honestly that's kind of why I want to redo the quants, it's not mentioned and I'm not sure, if you can do us a favor and ask there that'd be good to know. Just to be safe I'll redo them from scratch, doesn't take that long.

I imagine it would've been a nightmare pre GPU acceleration for imatrix 😭

Fun... now I'll have to find time to redo the last model. Although... better this than stagnation.