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--- |
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license: llama2 |
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library_name: transformers |
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tags: |
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- code |
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model-index: |
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- name: Code Millenials |
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results: |
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- task: |
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type: text-generation |
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dataset: |
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type: openai_humaneval |
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name: HumanEval |
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metrics: |
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- name: pass@1 |
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type: pass@1 |
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value: 0.7621 |
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verified: false |
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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 code-millenials-13b |
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Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.11">turboderp's ExLlamaV2 v0.0.11</a> for quantization. |
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# The "main" branch only contains the measurement.json, download one of the other branches for the model (see below) |
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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/budecosystem/code-millenials-13b |
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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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| [6_5](https://huggingface.co/Bartowski/code-millenials-13b-exl2/tree/6_5) | 6.5 | 8.0 | 14.4 GB | 24.0 GB | Near unquantized performance at vastly reduced size, **recommended**. | |
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| [5_0](https://huggingface.co/Bartowski/code-millenials-13b-exl2/tree/5_0) | 5.0 | 6.0 | 12.1 GB | 21.7 GB | Slightly lower perplexity vs 6.5, can fit in 12 GB card with even lower context. | |
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| [4_25](https://huggingface.co/Bartowski/code-millenials-13b-exl2/tree/4_25) | 4.25 | 6.0 | 10.9 GB | 20.5 GB | GPTQ equivalent bits per weight. | |
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| [3_75](https://huggingface.co/Bartowski/code-millenials-13b-exl2/tree/3_75) | 3.75 | 6.0 | 10.1 GB | 19.7 GB | Lower quality but still generally usable. | |
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| [3_0](https://huggingface.co/Bartowski/code-millenials-13b-exl2/tree/3_0) | 3.0 | 6.0 | 9.1 GB | 18.7 GB | Very low quality, not recommended unless you have to. | |
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VRAM requirements listed for both 4k context and 16k context since without GQA the differences are massive (9.6 GB) |
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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/code-millenials-13b-exl2 code-millenials-13b-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 `code-millenials-13b-exl2`: |
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```shell |
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mkdir code-millenials-13b-exl2 |
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huggingface-cli download bartowski/code-millenials-13b-exl2 --local-dir code-millenials-13b-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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```shell |
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mkdir code-millenials-13b-exl2-6_5 |
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huggingface-cli download bartowski/code-millenials-13b-exl2 --revision 6_5 --local-dir code-millenials-13b-exl2-6_5 --local-dir-use-symlinks False |
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``` |
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