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Model: qwp4w3hyb/gemma-2-9b-it-iMat-GGUF Source: Original Platform
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README.md
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README.md
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---
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license: gemma
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language:
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- en
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pipeline_tag: text-generation
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tags:
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- google
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- gemma
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- gguf
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- imatrix
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base_model: google/gemma-2-9b-it
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---
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# Quant Infos
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## Updated for all recent llama.cpp fixes (final logit soft capping+sliding window+tokenizer)
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- quants done with an importance matrix for improved quantization loss
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- Requantized ggufs & imatrix from hf bf16
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- initial version was based on f32 gguf provided by google, which had various issues
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- also updated for all recent llama.cpp fixes (final logit soft capping+sliding window+tokenizer)
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- Wide coverage of different gguf quant types from Q\_8\_0 down to IQ1\_S
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- experimental custom quant types
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- `_L` with `--output-tensor-type f16 --token-embedding-type f16` (same as bartowski's)
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- 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)
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- Imatrix generated with [this](https://gist.github.com/bartowski1182/eb213dccb3571f863da82e99418f81e8) multi-purpose dataset by [bartowski](https://huggingface.co/bartowski).
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```
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./imatrix -m $model_name-bf16.gguf -f calibration_datav3.txt -o $model_name.imatrix
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```
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# Original Model Card
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TODO
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