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measurement.json

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: llama3.1
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+ base_model: meta-llama/Meta-Llama-3.1-70B-Instruct
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+ tags:
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+ - abliterated
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+ - uncensored
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+ - mergekit
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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 Llama-3.1-70B-Instruct-lorablated
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+
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+ Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.2.0">turboderp's ExLlamaV2 v0.2.0</a> for quantization.
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+
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+ <b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
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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 the default 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/Llama-3.1-70B-Instruct-lorablated
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+
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+
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+ <a href="https://huggingface.co/bartowski/Llama-3.1-70B-Instruct-lorablated-exl2/tree/8_0">8.0 bits per weight</a>
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+
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+ <a href="https://huggingface.co/bartowski/Llama-3.1-70B-Instruct-lorablated-exl2/tree/6_5">6.5 bits per weight</a>
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+
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+ <a href="https://huggingface.co/bartowski/Llama-3.1-70B-Instruct-lorablated-exl2/tree/5_0">5.0 bits per weight</a>
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+
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+ <a href="https://huggingface.co/bartowski/Llama-3.1-70B-Instruct-lorablated-exl2/tree/4_25">4.25 bits per weight</a>
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+
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+ <a href="https://huggingface.co/bartowski/Llama-3.1-70B-Instruct-lorablated-exl2/tree/3_5">3.5 bits per weight</a>
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+
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+ <a href="https://huggingface.co/bartowski/Llama-3.1-70B-Instruct-lorablated-exl2/tree/2_2">2.2 bits per weight</a>
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+
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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 6_5 https://huggingface.co/bartowski/Llama-3.1-70B-Instruct-lorablated-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 `Llama-3.1-70B-Instruct-lorablated-exl2`:
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+
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+ ```shell
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+ mkdir Llama-3.1-70B-Instruct-lorablated-exl2
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+ huggingface-cli download bartowski/Llama-3.1-70B-Instruct-lorablated-exl2 --local-dir Llama-3.1-70B-Instruct-lorablated-exl2
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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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+ Linux:
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+
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+ ```shell
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+ mkdir Llama-3.1-70B-Instruct-lorablated-exl2-6_5
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+ huggingface-cli download bartowski/Llama-3.1-70B-Instruct-lorablated-exl2 --revision 6_5 --local-dir Llama-3.1-70B-Instruct-lorablated-exl2-6_5
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+ ```
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+
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+ Windows (which apparently doesn't like _ in folders sometimes?):
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+
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+ ```shell
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+ mkdir Llama-3.1-70B-Instruct-lorablated-exl2-6.5
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+ huggingface-cli download bartowski/Llama-3.1-70B-Instruct-lorablated-exl2 --revision 6_5 --local-dir Llama-3.1-70B-Instruct-lorablated-exl2-6.5
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+ ```
measurement.json ADDED
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