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--- |
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language: |
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- en |
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- de |
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- fr |
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- it |
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- pt |
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- hi |
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- es |
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- th |
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license: llama3.1 |
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pipeline_tag: text-generation |
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tags: |
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- facebook |
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- meta |
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- pytorch |
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- llama |
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- llama-3 |
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- gguf |
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- imatrix |
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base_model: meta-llama/Meta-Llama-3.1-70B-Instruct |
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--- |
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# Quant Infos |
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- ~Requires latest master + [Rope Scaling PR](https://github.com/ggerganov/llama.cpp/pull/8676).~ Rope scaling is merged, so just a a recent master is required now. |
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- quants done with an importance matrix for improved quantization loss |
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- Quantized ggufs & imatrix from hf bf16, through bf16. `safetensors bf16 -> gguf bf16 -> quant` for *optimal* quant loss. |
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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`, which supposedly leads to better accuracy. |
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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 |