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- measurement.json +0 -0
README.md
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---
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base_model: qblocks/mistral_7b_norobots
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datasets:
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- HuggingFaceH4/no_robots
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inference: false
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library_name: peft
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license: apache-2.0
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model_creator: MonsterAPI
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model_name: Mistral 7B Norobots
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model_type: mistral
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prompt_template: '<|system|> </s> <|user|> {prompt} </s> <|assistant|> {{response}}
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</s>
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'
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quantized_by: TheBloke
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tags:
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- code
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- instruct
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- llama2
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quantized_by: bartowski
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pipeline_tag: text-generation
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---
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## Exllama v2 Quantizations of mistral_7b_norobots
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Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.8">turboderp's ExLlamaV2 v0.0.8</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 wikitext-103-raw-v1-test.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/TheBloke/mistral_7b_norobots-fp16
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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/mistral_7b_norobots-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 `mistral_7b_norobots-exl2`:
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```shell
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mkdir mistral_7b_norobots-exl2
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huggingface-cli download bartowski/mistral_7b_norobots-exl2 --local-dir mistral_7b_norobots-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 mistral_7b_norobots-exl2
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huggingface-cli download bartowski/mistral_7b_norobots-exl2 --revision 4_0 --local-dir mistral_7b_norobots-exl2 --local-dir-use-symlinks False
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```
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measurement.json
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