Text Generation
Chinese
English
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measurement.json

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ datasets:
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+ - Azure99/blossom-chat-v3
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+ - Azure99/blossom-math-v4
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+ - Azure99/blossom-wizard-v3
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+ - Azure99/blossom-orca-v3
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+ language:
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+ - zh
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+ - en
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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 blossom-v5-14b
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+
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+ Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.15">turboderp's ExLlamaV2 v0.0.15</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/Azure99/blossom-v5-14b
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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 | VRAM (4k) | VRAM (16k) | Description |
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+ | ----- | ---- | ------- | ------ | ------ | ------------ |
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+ | [8_0](https://huggingface.co/bartowski/blossom-v5-14b-exl2/tree/8_0) | 8.0 | 8.0 | 18.5 GB | 28.8 GB | Near unquantized performance at vastly reduced size, **recommended**. |
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+ | [6_5](https://huggingface.co/bartowski/blossom-v5-14b-exl2/tree/6_5) | 6.5 | 8.0 | 15.9 GB | 26.4 GB | Near unquantized performance at vastly reduced size, **recommended**. |
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+ | [5_0](https://huggingface.co/bartowski/blossom-v5-14b-exl2/tree/5_0) | 5.0 | 6.0 | 13.3 GB | 23.9 GB | Slightly lower perplexity vs 6.5. |
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+ | [4_25](https://huggingface.co/bartowski/blossom-v5-14b-exl2/tree/4_25) | 4.25 | 6.0 | 12.0 GB | 22.6 GB | GPTQ equivalent bits per weight, can fit in 12 GB card with lower context. |
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+ | [3_75](https://huggingface.co/bartowski/blossom-v5-14b-exl2/tree/3_75) | 3.75 | 6.0 | 11.1 GB | 21.7 GB | Lower quality but still generally usable. |
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+ | [3_0](https://huggingface.co/bartowski/blossom-v5-14b-exl2/tree/3_0) | 3.0 | 6.0 | 10.0 GB | 20.6 GB | Very low quality, not recommended unless you have to. |
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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 (9.6 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/blossom-v5-14b-exl2 blossom-v5-14b-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 `blossom-v5-14b-exl2`:
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+
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+ ```shell
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+ mkdir blossom-v5-14b-exl2
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+ huggingface-cli download bartowski/blossom-v5-14b-exl2 --local-dir blossom-v5-14b-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 blossom-v5-14b-exl2-6_5
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+ huggingface-cli download bartowski/blossom-v5-14b-exl2 --revision 6_5 --local-dir blossom-v5-14b-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 blossom-v5-14b-exl2-6.5
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+ huggingface-cli download bartowski/blossom-v5-14b-exl2 --revision 6_5 --local-dir blossom-v5-14b-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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