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--- |
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tags: |
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- quantized |
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- chatml |
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datasets: |
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- allenai/ai2_arc |
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- allenai/ultrafeedback_binarized_cleaned |
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- argilla/distilabel-intel-orca-dpo-pairs |
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- jondurbin/airoboros-3.2 |
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- codeparrot/apps |
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- facebook/belebele |
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- bluemoon-fandom-1-1-rp-cleaned |
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- boolq |
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- camel-ai/biology |
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- camel-ai/chemistry |
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- camel-ai/math |
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- camel-ai/physics |
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- jondurbin/contextual-dpo-v0.1 |
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- jondurbin/gutenberg-dpo-v0.1 |
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- jondurbin/py-dpo-v0.1 |
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- jondurbin/truthy-dpo-v0.1 |
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- LDJnr/Capybara |
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- jondurbin/cinematika-v0.1 |
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- WizardLM/WizardLM_evol_instruct_70k |
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- glaiveai/glaive-function-calling-v2 |
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- jondurbin/gutenberg-dpo-v0.1 |
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- grimulkan/LimaRP-augmented |
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- lmsys/lmsys-chat-1m |
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- ParisNeo/lollms_aware_dataset |
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- TIGER-Lab/MathInstruct |
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- Muennighoff/natural-instructions |
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- openbookqa |
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- kingbri/PIPPA-shareGPT |
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- piqa |
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- Vezora/Tested-22k-Python-Alpaca |
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- ropes |
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- cakiki/rosetta-code |
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- Open-Orca/SlimOrca |
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- b-mc2/sql-create-context |
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- squad_v2 |
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- mattpscott/airoboros-summarization |
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- migtissera/Synthia-v1.3 |
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- unalignment/toxic-dpo-v0.2 |
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- WhiteRabbitNeo/WRN-Chapter-1 |
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- WhiteRabbitNeo/WRN-Chapter-2 |
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- winogrande |
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base_model: 01-ai/yi-34b-200k |
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model_type: mistral |
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pipeline_tag: text-generation |
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inference: false |
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license: apache-2.0 |
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--- |
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# jondurbin/bagel-34b-v0.5 Exl2 |
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- Model creator: [jondurbin](https://huggingface.co/jondurbin) |
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- Original model: [bagel-34b-v0.5](https://huggingface.co/jondurbin/bagel-34b-v0.5) |
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## Model Summary |
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This is a fine-tune of the updated yi-34b-200k with better long-context support. |
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See [bagel](https://github.com/jondurbin/bagel) for additional details on the datasets. |
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The DPO version is available [here](https://huggingface.co/jondurbin/bagel-dpo-34b-v0.5) |
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## How to Use |
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Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.14">turboderp's ExLlamaV2 v0.0.14</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/jondurbin/bagel-34b-v0.5 |
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| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description | |
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| ------ | ---- | ------------ | ---- | ---- | ---- | ----------- | |
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| [6_5](https://huggingface.co/suparious/bagel-34b-v0.5-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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| [4_25](https://huggingface.co/suparious/bagel-34b-v0.5-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/suparious/bagel-34b-v0.5-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/suparious/bagel-34b-v0.5-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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## 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/suparious/bagel-34b-v0.5-exl2 bagel-34b-v0.5-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 `bagel-34b-v0.5-exl2`: |
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```shell |
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mkdir bagel-34b-v0.5-exl2 |
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huggingface-cli download suparious/bagel-34b-v0.5-exl2 --local-dir bagel-34b-v0.5-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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Linux: |
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```shell |
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mkdir bagel-34b-v0.5-exl2-6_5 |
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huggingface-cli download suparious/bagel-34b-v0.5-exl2 --revision 6_5 --local-dir bagel-34b-v0.5-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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mkdir bagel-34b-v0.5-exl2-6.5 |
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huggingface-cli download suparious/bagel-34b-v0.5-exl2 --revision 6_5 --local-dir bagel-34b-v0.5-exl2-6.5 --local-dir-use-symlinks False |
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``` |
