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- measurement.json +0 -0
README.md
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---
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license: apache-2.0
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tags:
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- openchat
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- mistral
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- C-RLFT
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datasets:
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- openchat/openchat_sharegpt4_dataset
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- imone/OpenOrca_FLAN
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- LDJnr/LessWrong-Amplify-Instruct
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- LDJnr/Pure-Dove
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- LDJnr/Verified-Camel
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- tiedong/goat
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- glaiveai/glaive-code-assistant
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- meta-math/MetaMathQA
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- OpenAssistant/oasst_top1_2023-08-25
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- TIGER-Lab/MathInstruct
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library_name: transformers
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pipeline_tag: text-generation
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quantized_by: bartowski
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---
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## Exllama v2 Quantizations of openchat-3.5-1210
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Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.10">turboderp's ExLlamaV2 v0.0.10</a> for quantization.
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Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
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Conversion was done using VMWareOpenInstruct.parquet as calibration dataset.
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Default arguments used except when the bits per weight is above 6.0, at that point the lm_head layer is quantized at 8 bits per weight instead of the default 6.
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Original model: https://huggingface.co/openchat/openchat-3.5-1210
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## Download instructions
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With git:
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```shell
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git clone --single-branch --branch 4_0 https://huggingface.co/bartowski/openchat-3.5-1210-exl2
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```
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With huggingface hub (credit to TheBloke for instructions):
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```shell
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pip3 install huggingface-hub
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```
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To download the `main` (only useful if you only care about measurement.json) branch to a folder called `openchat-3.5-1210-exl2`:
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```shell
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mkdir openchat-3.5-1210-exl2
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huggingface-cli download bartowski/openchat-3.5-1210-exl2 --local-dir openchat-3.5-1210-exl2 --local-dir-use-symlinks False
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```
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To download from a different branch, add the `--revision` parameter:
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```shell
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mkdir openchat-3.5-1210-exl2
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huggingface-cli download bartowski/openchat-3.5-1210-exl2 --revision 4_0 --local-dir openchat-3.5-1210-exl2 --local-dir-use-symlinks False
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```
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measurement.json
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