Edit model card

maid-yuzu-v8-alter-iMat-GGUF

Update: Legacy quants calculated with imatrix showed lower average divergence than expected when compared to their non-imat variants. Uploading those now as well.

Highly requested model. Quantized from fp16 with love.

  • 1st batch (IQ3_S, IQ3_XS) use a imatrix.dat file calculated from Q8 quant. These have been removed in favor of a newer method. Please see tables below.
  • Later files made using .imatrix file from this repo (special thanks to ikawrakow again)

Original IQ3_XS KL-Divergence (calculated vs Q8)

Updated IQ3_XS KL-Divergence (calculated vs Q8)

Lower numbers are better

For a brief rundown of iMatrix quant performance please see this PR

All quants are verified working prior to uploading to repo for your safety and convenience.

Please note importance matrix quantizations are a work in progress, IQ3 and above is recommended for best results.

Tip: Pick a size that can fit in your GPU while still allowing some room for context for best speed. You may need to pad this further depending on if you are running image gen or TTS as well.

Original model card can be found here

Downloads last month
96
GGUF
Model size
46.7B params
Architecture
llama

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

Inference API
Unable to determine this model's library. Check the docs .

Collection including InferenceIllusionist/maid-yuzu-v8-alter-iMat-GGUF