measurement.json
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- measurement.json +0 -0
README.md
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---
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library_name: transformers
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tags: []
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extra_gated_heading: "Access Gemma on Hugging Face"
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extra_gated_prompt: "To access Gemma on Hugging Face, you’re required to review and agree to Google’s usage license. To do this, please ensure you’re logged-in to Hugging Face and click below. Requests are processed immediately."
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extra_gated_button_content: "Acknowledge license"
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license: other
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license_name: gemma-terms-of-use
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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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## Exllama v2 Quantizations of gemma-7b
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Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.13">turboderp's ExLlamaV2 v0.0.13</a> for quantization.
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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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Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
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Original model: https://huggingface.co/google/gemma-7b
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No GQA - VRAM requirements will be higher
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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/gemma-7b-exl2/tree/8_0) | 8.0 | 8.0 | 9.4 GB | 15.6 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
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| [6_5](https://huggingface.co/bartowski/gemma-7b-exl2/tree/6_5) | 6.5 | 8.0 | 8.6 GB | 14.8 GB | Near unquantized performance at vastly reduced size, **recommended**. |
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| [5_0](https://huggingface.co/bartowski/gemma-7b-exl2/tree/5_0) | 5.0 | 6.0 | 7.2 GB | 13.4 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/gemma-7b-exl2/tree/4_25) | 4.25 | 6.0 | 6.5 GB | 12.7 GB | GPTQ equivalent bits per weight. |
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| [3_5](https://huggingface.co/bartowski/gemma-7b-exl2/tree/3_5) | 3.5 | 6.0 | 5.9 GB | 12.1 GB | Lower quality, not recommended. |
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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 6_5 https://huggingface.co/bartowski/gemma-7b-exl2 gemma-7b-exl2-6_5
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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 `gemma-7b-exl2`:
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```shell
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mkdir gemma-7b-exl2
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huggingface-cli download bartowski/gemma-7b-exl2 --local-dir gemma-7b-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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Linux:
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```shell
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mkdir gemma-7b-exl2-6_5
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huggingface-cli download bartowski/gemma-7b-exl2 --revision 6_5 --local-dir gemma-7b-exl2-6_5 --local-dir-use-symlinks False
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```
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Windows (which apparently doesn't like _ in folders sometimes?):
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```shell
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mkdir gemma-7b-exl2-6.5
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huggingface-cli download bartowski/gemma-7b-exl2 --revision 6_5 --local-dir gemma-7b-exl2-6.5 --local-dir-use-symlinks False
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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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measurement.json
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