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--- |
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license: other |
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license_name: llama-3 |
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license_link: https://llama.meta.com/llama3/license/ |
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pipeline_tag: text-generation |
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base_model: Replete-AI/Llama-3-11.5B-Instruct-V2 |
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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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- instruct |
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- finetune |
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- frankenmerge |
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- merge |
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- gguf |
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- imatrix |
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- importance matrix |
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model-index: |
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- name: Yi-1.5-34B-Chat-16K-iMat-GGUF |
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results: [] |
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--- |
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# Quant Infos |
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- quants done with an importance matrix for improved quantization loss |
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- ggufs & imatrix generated from bf16 for "optimal" accuracy loss |
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- Wide coverage of different gguf quant types from Q\_8\_0 down to IQ1\_S |
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- Quantized with [llama.cpp](https://github.com/ggerganov/llama.cpp) commit [fabf30b4c4fca32e116009527180c252919ca922](https://github.com/ggerganov/llama.cpp/commit/fabf30b4c4fca32e116009527180c252919ca922) (master as of 2024-05-20) |
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- Imatrix generated with [this](https://github.com/ggerganov/llama.cpp/discussions/5263#discussioncomment-8395384) multi-purpose dataset. |
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``` |
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./imatrix -c 512 -m $model_name-f16.gguf -f $llama_cpp_path/groups_merged.txt -o $out_path/imat-f16-gmerged.dat |
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``` |
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# Original Model Card: |
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## Llama-3-11.5B-v2 |
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Thank you to Meta for the weights for Meta-Llama-3-8B |
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/642cc1c253e76b4c2286c58e/aJJxKus1wP5N-euvHEUq7.png) |
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This is an upscaling of the Meta-Llama-3-8B Ai using techniques created for chargoddard/mistral-11b-slimorca. This Ai model has been upscaled from 8b parameters to 11.5b parameters without any continuous pretraining or fine-tuning. |
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Unlike version 1 this model has no issues at fp16 or any quantizations. |
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The model that was used to create this one is linked below: |
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https://huggingface.co/meta-llama/Meta-Llama-3-8B |
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