---
license: other
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
license_name: internlm2-20b
license_link: https://huggingface.co/internlm/internlm2-20b#open-source-license
base_model: internlm/internlm2-20b
quantized_by: bartowski
pipeline_tag: text-generation
---

## Exllama v2 Quantizations of bagel-20b-v04-llama

Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.13">turboderp's ExLlamaV2 v0.0.13</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-20b-v04-llama

| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
| ------ | ---- | ------------ | ---- | ---- | ---- | ----------- |
| [6_5](https://huggingface.co/bartowski/bagel-20b-v04-llama-exl2/tree/6_5)   | 6.5  | 8.0 | 19.6 GB | 21.0 GB | 23.0 GB | Near unquantized performance at vastly reduced size, **recommended**.       |
| [4_25](https://huggingface.co/bartowski/bagel-20b-v04-llama-exl2/tree/4_25) | 4.25 | 6.0 | 13.8 GB | 15.2 GB | 17.2 GB | GPTQ equivalent bits per weight, slightly higher quality.                   |
| [3_5](https://huggingface.co/bartowski/bagel-20b-v04-llama-exl2/tree/3_5)   | 3.5  | 6.0 | 12.4 GB | 13.8 GB | 15.8 GB | Lower quality, only use if you have to.                                     |
| [3_0](https://huggingface.co/bartowski/bagel-20b-v04-llama-exl2/tree/3_0)   | 3.0  | 6.0 | 11.1 GB | 12.5 GB | 15.5 GB | Very low quality. Usable on 12GB. |

## Download instructions

With git:

```shell
git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/bagel-20b-v04-llama-exl2 bagel-20b-v04-llama-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-20b-v04-llama-exl2`:

```shell
mkdir bagel-20b-v04-llama-exl2
huggingface-cli download bartowski/bagel-20b-v04-llama-exl2 --local-dir bagel-20b-v04-llama-exl2 --local-dir-use-symlinks False
```

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

Linux:

```shell
mkdir bagel-20b-v04-llama-exl2-6_5
huggingface-cli download bartowski/bagel-20b-v04-llama-exl2 --revision 6_5 --local-dir bagel-20b-v04-llama-exl2-6_5 --local-dir-use-symlinks False
```

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

```shell
mkdir bagel-20b-v04-llama-exl2-6.5
huggingface-cli download bartowski/bagel-20b-v04-llama-exl2 --revision 6_5 --local-dir bagel-20b-v04-llama-exl2-6.5 --local-dir-use-symlinks False
```

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