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measurement.json

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+ ---
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+ license: apache-2.0
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+ base_model: 01-ai/Yi-1.5-34B
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+ tags:
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+ - generated_from_trainer
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+ - axolotl
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+ datasets:
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+ - cognitivecomputations/Dolphin-2.9
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+ - teknium/OpenHermes-2.5
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+ - m-a-p/CodeFeedback-Filtered-Instruction
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+ - cognitivecomputations/dolphin-coder
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+ - cognitivecomputations/samantha-data
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+ - microsoft/orca-math-word-problems-200k
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+ - Locutusque/function-calling-chatml
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+ - internlm/Agent-FLAN
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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 dolphin-2.9.1-yi-1.5-34b
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+
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+ Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.21">turboderp's ExLlamaV2 v0.0.21</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/cognitivecomputations/dolphin-2.9.1-yi-1.5-34b
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+
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+ ## Prompt format
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+
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+ ```
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+ <|im_start|> system
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+ {system_prompt}<|im_end|>
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+ <|im_start|> user
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+ {prompt}<|im_end|>
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+ <|im_start|> assistant
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+
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+ ```
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+
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+ ## Available sizes
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+
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+ | Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
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+ | ------ | ---- | ------------ | ---- | ---- | ---- | ----------- |
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+ | [8_0](https://huggingface.co/bartowski/dolphin-2.9.1-yi-1.5-34b-exl2/tree/8_0) | 8.0 | 8.0 | 34.9 GB | 37.6 GB | 41.6 GB | Max quality producable by ExLlamav2, generally unneeded but maximum performance |
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+ | [6_5](https://huggingface.co/bartowski/dolphin-2.9.1-yi-1.5-34b-exl2/tree/6_5) | 6.5 | 8.0 | 28.9 GB | 31.6 GB | 35.6 GB | Near unquantized performance at vastly reduced size, **recommended**. |
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+ | [5_0](https://huggingface.co/bartowski/dolphin-2.9.1-yi-1.5-34b-exl2/tree/5_0) | 5.0 | 8.0 | 22.6 GB | 25.3 GB | 29.3 GB | Very high quality, usable at 4k context on 24GB. |
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+ | [4_25](https://huggingface.co/bartowski/dolphin-2.9.1-yi-1.5-34b-exl2/tree/4_25) | 4.25 | 6.0 | 19.5 GB | 22.2 GB | 26.2 GB | GPTQ equivalent bits per weight, slightly higher quality. |
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+ | [3_5](https://huggingface.co/bartowski/dolphin-2.9.1-yi-1.5-34b-exl2/tree/3_5) | 3.5 | 6.0 | 16.5 GB | 19.2 GB | 23.2 GB | Lower quality, only use if you have to. |
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+ | [3_0](https://huggingface.co/bartowski/dolphin-2.9.1-yi-1.5-34b-exl2/tree/3_0) | 3.0 | 6.0 | 14.3 GB | 17.0 GB | 21.0 GB | Very low quality, usable with 16gb of VRAM. |
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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/dolphin-2.9.1-yi-1.5-34b-exl2 dolphin-2.9.1-yi-1.5-34b-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 a specific branch, use the `--revision` parameter. For example, to download the 6.5 bpw branch:
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+
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+ Linux:
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+
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+ ```shell
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+ huggingface-cli download bartowski/dolphin-2.9.1-yi-1.5-34b-exl2 --revision 6_5 --local-dir dolphin-2.9.1-yi-1.5-34b-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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+ huggingface-cli download bartowski/dolphin-2.9.1-yi-1.5-34b-exl2 --revision 6_5 --local-dir dolphin-2.9.1-yi-1.5-34b-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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