text-generation dataset:allenai/ai2_arc dataset:allenai/ultrafeedback_binarized_cleaned dataset:argilla/distilabel-intel-orca-dpo-pairs dataset:jondurbin/airoboros-3.2 dataset:codeparrot/apps dataset:facebook/belebele dataset:bluemoon-fandom-1-1-rp-cleaned dataset:boolq dataset:camel-ai/biology dataset:camel-ai/chemistry dataset:camel-ai/math dataset:camel-ai/physics dataset:jondurbin/contextual-dpo-v0.1 dataset:jondurbin/gutenberg-dpo-v0.1 dataset:jondurbin/py-dpo-v0.1 dataset:jondurbin/truthy-dpo-v0.1 dataset:LDJnr/Capybara dataset:jondurbin/cinematika-v0.1 dataset:WizardLM/WizardLM_evol_instruct_70k dataset:glaiveai/glaive-function-calling-v2 dataset:grimulkan/LimaRP-augmented dataset:lmsys/lmsys-chat-1m dataset:ParisNeo/lollms_aware_dataset dataset:TIGER-Lab/MathInstruct dataset:Muennighoff/natural-instructions dataset:openbookqa dataset:kingbri/PIPPA-shareGPT dataset:piqa dataset:Vezora/Tested-22k-Python-Alpaca dataset:ropes dataset:cakiki/rosetta-code dataset:Open-Orca/SlimOrca dataset:b-mc2/sql-create-context dataset:squad_v2 dataset:mattpscott/airoboros-summarization dataset:migtissera/Synthia-v1.3 dataset:unalignment/toxic-dpo-v0.2 dataset:WhiteRabbitNeo/WRN-Chapter-1 dataset:WhiteRabbitNeo/WRN-Chapter-2 dataset:winogrande base_model:mistralai/mistral-7b-v0.1 license:apache-2.0 region:us
---
license: apache-2.0
datasets:
- allenai/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
base_model: mistralai/mistral-7b-v0.1
quantized_by: bartowski
pipeline_tag: text-generation
---

## Exllama v2 Quantizations of bagel-dpo-7b-v0.4

Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.13">turboderp's ExLlamaV2 v0.0.13</a> for quantization.

# The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)

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-7b-v0.4

| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
| ----- | ---- | ------- | ------ | ------ | ------ | ------------ |
| [8_0](https://huggingface.co/Bartowski/bagel-dpo-7b-v0.4-exl2/tree/8_0) | 8.0 | 8.0 | 8.4 GB | 9.8 GB | 11.8 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
| [6_5](https://huggingface.co/Bartowski/bagel-dpo-7b-v0.4-exl2/tree/6_5) | 6.5 | 8.0 | 7.2 GB | 8.6 GB | 10.6 GB | Very similar to 8.0, good tradeoff of size vs performance, **recommended**. |
| [5_0](https://huggingface.co/Bartowski/bagel-dpo-7b-v0.4-exl2/tree/5_0) | 5.0 | 6.0 | 6.0 GB | 7.4 GB |  9.4 GB | Slightly lower quality vs 6.5, but usable on 8GB cards. |
| [4_25](https://huggingface.co/Bartowski/bagel-dpo-7b-v0.4-exl2/tree/4_25) | 4.25 | 6.0 | 5.3 GB | 6.7 GB | 8.7 GB | GPTQ equivalent bits per weight, slightly higher quality. |
| [3_5](https://huggingface.co/Bartowski/bagel-dpo-7b-v0.4-exl2/tree/3_5) | 3.5 | 6.0 | 4.7 GB | 6.1 GB | 8.1 GB | Lower quality, only use if you have to. |

## Download instructions

With git:

```shell
git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/bagel-dpo-7b-v0.4-exl2 bagel-dpo-7b-v0.4-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-7b-v0.4-exl2`:

```shell
mkdir bagel-dpo-7b-v0.4-exl2
huggingface-cli download bartowski/bagel-dpo-7b-v0.4-exl2 --local-dir bagel-dpo-7b-v0.4-exl2 --local-dir-use-symlinks False
```

To download from a different branch, add the `--revision` parameter:

Linux:

```shell
mkdir bagel-dpo-7b-v0.4-exl2-6_5
huggingface-cli download bartowski/bagel-dpo-7b-v0.4-exl2 --revision 6_5 --local-dir bagel-dpo-7b-v0.4-exl2-6_5 --local-dir-use-symlinks False
```

Windows (which apparently doesn't like _ in folders sometimes?):

```shell
mkdir bagel-dpo-7b-v0.4-exl2-6.5
huggingface-cli download bartowski/bagel-dpo-7b-v0.4-exl2 --revision 6_5 --local-dir bagel-dpo-7b-v0.4-exl2-6.5 --local-dir-use-symlinks False
```

Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski