Downloads · 30 days
10
5% of all-time downloads
Mistral-22B-v0.2-exl2
bartowski/Mistral-22B-v0.2-exl2
Mistral-22B-v0.2-exl2 is a text generation model from bartowski. Use it when you need the model to write or continue text. The card lists the license as apache-2.0.
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.18"turboderp's ExLlamaV2 v0.0.18</a for quantization.
All-time downloads
196
Public
Repo size
97.4 GB
Likes
4
Public
Repo makeup
Click a slice to open those files.
.json3.1 MB · 100%
At a glance
- Task
- Text Generation
- License
- apache-2.0
- Access
- Public
- Created
- Apr 14, 2024
- Updated
- Apr 15, 2024
- SHA
- 03a288a6
Try a prompt
Model card
From the Hugging Face model README
Exllama v2 Quantizations of Mistral-22B-v0.2
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.18">turboderp's ExLlamaV2 v0.0.18</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/Vezora/Mistral-22B-v0.2
Prompt Format
### System: {system_prompt}
### Human: {prompt}
### Assistant:
Available sizes
| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
|---|---|---|---|---|---|---|
| 8_0 | 8.0 | 8.0 | 23.5 GB | 26.0 GB | 29.5 GB | Near unquantized performance, max quality ExLlamaV2 can create. |
| 6_5 | 6.5 | 8.0 | 19.4 GB | 21.9 GB | 25.4 GB | Near unquantized performance at vastly reduced size, recommended. |
| 5_0 | 5.0 | 6.0 | 15.5 GB | 18.0 GB | 21.5 GB | Smaller size, lower quality, still very high performance, recommended. |
| 4_25 | 4.25 | 6.0 | 13.3 GB | 15.8 GB | 19.3 GB | GPTQ equivalent bits per weight, slightly higher quality. |
| 3_5 | 3.5 | 6.0 | 11.6 GB | 14.1 GB | 17.6 GB | Lower quality, only use if you have to. |
| 3_0 | 3.0 | 6.0 | 9.8 GB | 12.3 GB | 15.8 GB | Very low quality. Usable on 12GB with low context or 16gb with 32k. |
Download instructions
With git:
git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/Mistral-22B-v0.2-exl2
With huggingface hub (credit to TheBloke for instructions):
pip3 install huggingface-hub
To download the main (only useful if you only care about measurement.json) branch to a folder called Mistral-22B-v0.2-exl2:
mkdir Mistral-22B-v0.2-exl2
huggingface-cli download bartowski/Mistral-22B-v0.2-exl2 --local-dir Mistral-22B-v0.2-exl2 --local-dir-use-symlinks False
To download from a different branch, add the --revision parameter:
Linux:
mkdir Mistral-22B-v0.2-exl2-6_5
huggingface-cli download bartowski/Mistral-22B-v0.2-exl2 --revision 6_5 --local-dir Mistral-22B-v0.2-exl2-6_5 --local-dir-use-symlinks False
Windows (which apparently doesn't like _ in folders sometimes?):
mkdir Mistral-22B-v0.2-exl2-6.5
huggingface-cli download bartowski/Mistral-22B-v0.2-exl2 --revision 6_5 --local-dir Mistral-22B-v0.2-exl2-6.5 --local-dir-use-symlinks False
- Task
- Text Generation
- License
- apache-2.0
- Created
- Apr 14, 2024
- Updated
- Apr 15, 2024