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--- |
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license: other |
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base_model: meta-llama/Meta-Llama-3-8B |
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tags: |
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- generated_from_trainer |
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- axolotl |
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model-index: |
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- name: out |
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results: [] |
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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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- HuggingFaceH4/ultrachat_200k |
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- microsoft/orca-math-word-problems-200k |
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- abacusai/SystemChat-1.1 |
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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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## Exllama v2 Quantizations of dolphin-2.9-llama3-8b-1m |
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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/cognitivecomputations/dolphin-2.9-llama3-8b-1m |
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## Prompt format |
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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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## Available sizes |
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| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (8K) | VRAM (16k) | VRAM (32k) | Description | |
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| ----- | ---- | ------- | ------ | ------ | ------ | ------ | ------------ | |
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| [8_0](https://huggingface.co/bartowski/dolphin-2.9-llama3-8b-1m-exl2/tree/8_0) | 8.0 | 8.0 | 10.1 GB | 10.5 GB | 11.5 GB | 13.6 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. | |
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| [6_5](https://huggingface.co/bartowski/dolphin-2.9-llama3-8b-1m-exl2/tree/6_5) | 6.5 | 8.0 | 8.9 GB | 9.3 GB | 10.3 GB | 12.4 GB | Very similar to 8.0, good tradeoff of size vs performance, **recommended**. | |
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| [5_0](https://huggingface.co/bartowski/dolphin-2.9-llama3-8b-1m-exl2/tree/5_0) | 5.0 | 6.0 | 7.7 GB | 8.1 GB | 9.1 GB | 11.2 GB | Slightly lower quality vs 6.5, but usable on 8GB cards. | |
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| [4_25](https://huggingface.co/bartowski/dolphin-2.9-llama3-8b-1m-exl2/tree/4_25) | 4.25 | 6.0 | 7.0 GB | 7.4 GB | 8.4 GB | 10.5 GB | GPTQ equivalent bits per weight, slightly higher quality. | |
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| [3_5](https://huggingface.co/bartowski/dolphin-2.9-llama3-8b-1m-exl2/tree/3_5) | 3.5 | 6.0 | 6.4 GB | 6.8 GB | 7.8 GB | 9.9 GB | Lower quality, only use if you have to. | |
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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/dolphin-2.9-llama3-8b-1m-exl2 dolphin-2.9-llama3-8b-1m-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/dolphin-2.9-llama3-8b-1m-exl2 --revision 6_5 --local-dir dolphin-2.9-llama3-8b-1m-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/dolphin-2.9-llama3-8b-1m-exl2 --revision 6_5 --local-dir dolphin-2.9-llama3-8b-1m-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 |
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