51 lines
1.7 KiB
Markdown
51 lines
1.7 KiB
Markdown
---
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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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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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