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---
license: gemma
language:
- en
pipeline_tag: text-generation
tags:
- google
- gemma
- gguf
- imatrix
base_model: google/gemma-2-27b-it
---
# 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](https://github.com/ggerganov/llama.cpp) commit [5fac350b9cc49d0446fc291b9c4ad53666c77591](https://github.com/ggerganov/llama.cpp/commit/5fac350b9cc49d0446fc291b9c4ad53666c77591) (master from 2024-07-02)
- Imatrix generated with [this](https://gist.github.com/bartowski1182/eb213dccb3571f863da82e99418f81e8) multi-purpose dataset by [bartowski](https://huggingface.co/bartowski).
```
./imatrix -m $model_name-bf16.gguf -f calibration_datav3.txt -o $model_name.imatrix
```
# Original Model Card
TODO |