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--- |
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library_name: transformers |
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extra_gated_heading: Access CodeGemma 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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pipeline_tag: text-generation |
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widget: |
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- text: > |
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<start_of_turn>user |
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Write a Python function to calculate the nth fibonacci number.<end_of_turn> |
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<start_of_turn>model |
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inference: |
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parameters: |
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max_new_tokens: 200 |
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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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--- |
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## Exllama v2 Quantizations of codegemma-1.1-7b-it |
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Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.20">turboderp's ExLlamaV2 v0.0.20</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/codegemma-1.1-7b-it |
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## Prompt format |
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``` |
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<bos><start_of_turn>user |
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{prompt}<end_of_turn> |
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<start_of_turn>model |
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<end_of_turn> |
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<start_of_turn>model |
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``` |
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Note that this model does not support a System prompt. |
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## Available sizes |
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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/codegemma-1.1-7b-it-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-1.1-7b-it-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-1.1-7b-it-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-1.1-7b-it-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-1.1-7b-it-exl2/tree/3_5) | 3.5 | 6.0 | 9.5 GB | 14.9 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/codegemma-1.1-7b-it-exl2 codegemma-1.1-7b-it-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 a specific branch, use the `--revision` parameter. For example, to download the 6.5 bpw branch: |
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Linux: |
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```shell |
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huggingface-cli download bartowski/codegemma-1.1-7b-it-exl2 --revision 6_5 --local-dir codegemma-1.1-7b-it-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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huggingface-cli download bartowski/codegemma-1.1-7b-it-exl2 --revision 6_5 --local-dir codegemma-1.1-7b-it-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 |
