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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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+ extra_gated_heading: Access Gemma on Hugging Face
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+ extra_gated_prompt: >-
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+ To access CodeGemma on Hugging Face, you’re required to review and agree to
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+ Google’s usage license. To do this, please ensure you’re logged-in to Hugging
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+ Face and click below. Requests are processed immediately.
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+ extra_gated_button_content: Acknowledge license
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+ license: gemma
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+ license_link: https://ai.google.dev/gemma/terms
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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 codegemma-7b
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+
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+ Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.18">turboderp's ExLlamaV2 v0.0.18</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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+ Original model: https://huggingface.co/google/codegemma-7b
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+
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+ ## Prompt format
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+
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+ No prompt template for this model.
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+
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+ ## Available sizes
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+
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+ No GQA - VRAM requirements will be higher
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+
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+ | Branch | Bits | lm_head bits | Size (4k) | Size (16k) | Description |
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+ | -------------------------------------------------------------- | ---- | ------------ | --------- | ---------- | ----------- |
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+ | [8_0](https://huggingface.co/bartowski/codegemma-7b-exl2/tree/8_0) | 8.0 | 8.0 | 14.0 GB | 19.4 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
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+ | [6_5](https://huggingface.co/bartowski/codegemma-7b-exl2/tree/6_5) | 6.5 | 8.0 | 12.5 GB | 17.9 GB | Near unquantized performance at vastly reduced size, **recommended**. |
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+ | [5_0](https://huggingface.co/bartowski/codegemma-7b-exl2/tree/5_0) | 5.0 | 6.0 | 10.9 GB | 16.3 GB | Slightly lower quality vs 6.5, but usable on 8GB cards with 4k context. |
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+ | [4_25](https://huggingface.co/bartowski/codegemma-7b-exl2/tree/4_25) | 4.25 | 6.0 | 10.2 GB | 15.7 GB | GPTQ equivalent bits per weight. |
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+ | [3_5](https://huggingface.co/bartowski/codegemma-7b-exl2/tree/3_5) | 3.5 | 6.0 | 9.5 GB | 14.9 GB | Lower quality, not recommended. |
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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/codegemma-7b-exl2 codegemma-7b-exl2-6_5
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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 `codegemma-7b-exl2`:
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+
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+ ```shell
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+ mkdir codegemma-7b-exl2
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+ huggingface-cli download bartowski/codegemma-7b-exl2 --local-dir codegemma-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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+ Linux:
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+
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+ ```shell
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+ mkdir codegemma-7b-exl2-6_5
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+ huggingface-cli download bartowski/codegemma-7b-exl2 --revision 6_5 --local-dir codegemma-7b-exl2-6_5 --local-dir-use-symlinks False
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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 codegemma-7b-exl2-6.5
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+ huggingface-cli download bartowski/codegemma-7b-exl2 --revision 6_5 --local-dir codegemma-7b-exl2-6.5 --local-dir-use-symlinks False
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+ ```
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+
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+ Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski
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