File size: 3,081 Bytes
dbf4096 0f5ee7f dbf4096 03a288a dbf4096 03a288a dbf4096 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 |
---
license: apache-2.0
quantized_by: bartowski
pipeline_tag: text-generation
---
## 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](https://huggingface.co/bartowski/Mistral-22B-v0.2-exl2/tree/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](https://huggingface.co/bartowski/Mistral-22B-v0.2-exl2/tree/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](https://huggingface.co/bartowski/Mistral-22B-v0.2-exl2/tree/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](https://huggingface.co/bartowski/Mistral-22B-v0.2-exl2/tree/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](https://huggingface.co/bartowski/Mistral-22B-v0.2-exl2/tree/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](https://huggingface.co/bartowski/Mistral-22B-v0.2-exl2/tree/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:
```shell
git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/Mistral-22B-v0.2-exl2
```
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 `Mistral-22B-v0.2-exl2`:
```shell
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:
```shell
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?):
```shell
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
```
|