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  2. measurement.json +0 -0
README.md ADDED
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+ ---
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+ base_model: teknium/OpenHermes-2.5-Mistral-7B
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+ tags:
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+ - mistral
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+ - instruct
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+ - finetune
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+ - chatml
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+ - gpt4
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+ - synthetic data
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+ - distillation
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+ - dpo
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+ - rlhf
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+ license: apache-2.0
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+ language:
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+ - en
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+ datasets:
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+ - mlabonne/chatml_dpo_pairs
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+ quantized_by: bartowski
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+ pipeline_tag: text-generation
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+ ---
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+
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+ ## Exllama v2 Quantizations of NeuralHermes-2.5-Mistral-7B
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+
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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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+
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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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+
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+ Conversion was done using VMWareOpenInstruct.parquet as calibration dataset.
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+
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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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+
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+ Original model: https://huggingface.co/mlabonne/NeuralHermes-2.5-Mistral-7B
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+
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+ ## Download instructions
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+
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+ With git:
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+
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+ ```shell
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+ git clone --single-branch --branch 4_0 https://huggingface.co/bartowski/NeuralHermes-2.5-Mistral-7B-exl2
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+ ```
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+
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+ With huggingface hub (credit to TheBloke for instructions):
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+
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+ ```shell
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+ pip3 install huggingface-hub
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+ ```
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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 `NeuralHermes-2.5-Mistral-7B-exl2`:
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+
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+ ```shell
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+ mkdir NeuralHermes-2.5-Mistral-7B-exl2
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+ huggingface-cli download bartowski/NeuralHermes-2.5-Mistral-7B-exl2 --local-dir NeuralHermes-2.5-Mistral-7B-exl2 --local-dir-use-symlinks False
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+ ```
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+
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+ To download from a different branch, add the `--revision` parameter:
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+
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+ ```shell
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+ mkdir NeuralHermes-2.5-Mistral-7B-exl2
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+ huggingface-cli download bartowski/NeuralHermes-2.5-Mistral-7B-exl2 --revision 4_0 --local-dir NeuralHermes-2.5-Mistral-7B-exl2 --local-dir-use-symlinks False
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+ ```
measurement.json ADDED
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