Text Generation
Transformers
Inference Endpoints
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measurement.json

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README.md ADDED
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+ ---
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+ license: other
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+ license_name: deepseek
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+ datasets:
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+ - ise-uiuc/Magicoder-OSS-Instruct-75K
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+ library_name: transformers
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+ pipeline_tag: text-generation
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+ quantized_by: bartowski
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+ ---
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+
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+ ## Exllama v2 Quantizations of Magicoder-DS-6.7B
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+
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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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+
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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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+
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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/ise-uiuc/Magicoder-DS-6.7B/
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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/Magicoder-DS-6.7B-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/Magicoder-DS-6.7B-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/Magicoder-DS-6.7B-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/Magicoder-DS-6.7B-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/Magicoder-DS-6.7B-exl2/tree/3_5) | 3.5 | 6.0 | 5.9 GB | 12.1 GB | Lower quality, not recommended. |
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+
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+ VRAM requirements listed for both 4k context and 16k context since without GQA the differences are massive (6.2 GB)
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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/Magicoder-DS-6.7B-exl2 Magicoder-DS-6.7B-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 `Magicoder-DS-6.7B-exl2`:
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+
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+ ```shell
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+ mkdir Magicoder-DS-6.7B-exl2
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+ huggingface-cli download bartowski/Magicoder-DS-6.7B-exl2 --local-dir Magicoder-DS-6.7B-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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+ ```shell
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+ mkdir Magicoder-DS-6.7B-exl2-6_5
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+ huggingface-cli download bartowski/Magicoder-DS-6.7B-exl2 --revision 6_5 --local-dir Magicoder-DS-6.7B-exl2-6_5 --local-dir-use-symlinks False
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+ ```
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