metadata

license: gemma
language:
  - en
pipeline_tag: text-generation
tags:
  - google
  - gemma
  - gguf
  - imatrix
base_model: google/gemma-2-9b-it

Quant Infos

quants done with an importance matrix for improved quantization loss
Currently requantizing ggufs & imatrix from bf16 for "optimal" accuracy loss
- initial version was based on f32 gguf provided by google
- WIP new version should have better metadata as its quantized from scratch with llama.cpp
Wide coverage of different gguf quant types from Q_8_0 down to IQ1_S
- experimental custom quant types
  - _L with --output-tensor-type f16 --token-embedding-type f16 (same as bartowski)
  - _XL with --output-tensor-type bf16 --token-embedding-type bf16 (same size as _L, in theory even higher numerical accuracy)
Quantized with llama.cpp release b3259

Imatrix generated with this multi-purpose dataset by bartowski.

./imatrix -c 512 -m $model_name-bf16.gguf -f calibration_datav3.txt -o $model_name.imatrix

Original Model Card

TODO