Add model card

README.md

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+---
+license: other
+license_name: yi-license
+license_link: https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE
+base_model: 01-ai/yi-34b-200k
+datasets:
+- ai2_arc
+- allenai/ultrafeedback_binarized_cleaned
+- argilla/distilabel-intel-orca-dpo-pairs
+- jondurbin/airoboros-3.2
+- codeparrot/apps
+- facebook/belebele
+- bluemoon-fandom-1-1-rp-cleaned
+- boolq
+- camel-ai/biology
+- camel-ai/chemistry
+- camel-ai/math
+- camel-ai/physics
+- jondurbin/contextual-dpo-v0.1
+- jondurbin/gutenberg-dpo-v0.1
+- jondurbin/py-dpo-v0.1
+- jondurbin/truthy-dpo-v0.1
+- LDJnr/Capybara
+- jondurbin/cinematika-v0.1
+- WizardLM/WizardLM_evol_instruct_70k
+- glaiveai/glaive-function-calling-v2
+- jondurbin/gutenberg-dpo-v0.1
+- grimulkan/LimaRP-augmented
+- lmsys/lmsys-chat-1m
+- ParisNeo/lollms_aware_dataset
+- TIGER-Lab/MathInstruct
+- Muennighoff/natural-instructions
+- openbookqa
+- kingbri/PIPPA-shareGPT
+- piqa
+- Vezora/Tested-22k-Python-Alpaca
+- ropes
+- cakiki/rosetta-code
+- Open-Orca/SlimOrca
+- b-mc2/sql-create-context
+- squad_v2
+- mattpscott/airoboros-summarization
+- migtissera/Synthia-v1.3
+- unalignment/toxic-dpo-v0.2
+- WhiteRabbitNeo/WRN-Chapter-1
+- WhiteRabbitNeo/WRN-Chapter-2
+- winogrande
+tags:
+- quantized
+- chatml
+model_type: mistral
+pipeline_tag: text-generation
+inference: false
+---
+# jondurbin/bagel-dpo-34b-v0.5 Exl2
+
+- Model creator: [jondurbin](https://huggingface.co/jondurbin)
+- Original model: [bagel-dpo-34b-v0.5](https://huggingface.co/jondurbin/bagel-dpo-34b-v0.5)
+
+![bagel](bagel.png)
+
+## Model Summary
+
+This is a fine-tune of the updated yi-34b-200k with better long-context support.
+
+See [bagel](https://github.com/jondurbin/bagel) for additional details on the datasets.
+
+The DPO version is available [here](https://huggingface.co/jondurbin/bagel-dpo-34b-v0.5)
+
+## How to Use
+
+Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.14">turboderp's ExLlamaV2 v0.0.14</a> for quantization.
+
+<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
+
+Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
+
+Original model: https://huggingface.co/jondurbin/bagel-dpo-34b-v0.5
+
+| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
+| ------ | ---- | ------------ | ---- | ---- | ---- | ----------- |
+| [6_5](https://huggingface.co/suparious/bagel-dpo-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**.       |
+| [4_25](https://huggingface.co/suparious/bagel-dpo-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.                   |
+| [3_5](https://huggingface.co/suparious/bagel-dpo-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.                                     |
+| [3_0](https://huggingface.co/suparious/bagel-dpo-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. |
+
+## Download instructions
+
+With git:
+
+```shell
+git clone --single-branch --branch 6_5 https://huggingface.co/suparious/bagel-dpo-34b-v0.5-exl2 bagel-dpo-34b-v0.5-exl2-6_5
+```
+
+With huggingface hub (credit to TheBloke for instructions):
+
+```shell
+pip3 install huggingface-hub
+```
+
+To download the `main` (only useful if you only care about measurement.json) branch to a folder called `bagel-dpo-34b-v0.5-exl2`:
+
+```shell
+mkdir bagel-dpo-34b-v0.5-exl2
+huggingface-cli download suparious/bagel-dpo-34b-v0.5-exl2 --local-dir bagel-dpo-34b-v0.5-exl2 --local-dir-use-symlinks False
+```
+
+To download from a different branch, add the `--revision` parameter:
+
+Linux:
+
+```shell
+mkdir bagel-dpo-34b-v0.5-exl2-6_5
+huggingface-cli download suparious/bagel-dpo-34b-v0.5-exl2 --revision 6_5 --local-dir bagel-dpo-34b-v0.5-exl2-6_5 --local-dir-use-symlinks False
+```
+
+Windows (which apparently doesn't like _ in folders sometimes?):
+
+```shell
+mkdir bagel-dpo-34b-v0.5-exl2-6.5
+huggingface-cli download suparious/bagel-dpo-34b-v0.5-exl2 --revision 6_5 --local-dir bagel-dpo-34b-v0.5-exl2-6.5 --local-dir-use-symlinks False
+```