Quant Infos

Updated for all recent llama.cpp fixes (final logit soft capping+sliding window+tokenizer)

quants done with an importance matrix for improved quantization loss
Requantized ggufs & imatrix from hf bf16
- initial version was based on f32 gguf provided by google, which had various issues
- also updated for all recent llama.cpp fixes (final logit soft capping+sliding window+tokenizer)
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's)
Quantized with llama.cpp commit 5fac350b9cc49d0446fc291b9c4ad53666c77591 (master from 2024-07-02)

Imatrix generated with this multi-purpose dataset by bartowski.

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

TODO