Downloads · 30 days
2
13% of all-time downloads
mixtral-instruct-0.1-laser-exl2
bartowski/mixtral-instruct-0.1-laser-exl2
mixtral-instruct-0.1-laser-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/v0.0.13"turboderp's ExLlamaV2 v0.0.13</a for quantization.
All-time downloads
16
Public
Repo size
153 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.json1.8 MB · 100%
At a glance
- Task
- Text Generation
- License
- apache-2.0
- Access
- Public
- Created
- Feb 22, 2024
- Updated
- Feb 22, 2024
- SHA
- 3f1ed6e1
Model card
From the Hugging Face model README
Exllama v2 Quantizations of mixtral-instruct-0.1-laser
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/cognitivecomputations/mixtral-instruct-0.1-laser
| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
|---|---|---|---|---|---|---|
| 6_5 | 6.5 | 8.0 | 38.9 GB | 40.4 GB | 42.4 GB | Near unquantized performance at vastly reduced size, recommended (if you can run it..). |
| 4_25 | 4.25 | 6.0 | 25.9 GB | 27.4 GB | 29.4 GB | GPTQ equivalent bits per weight, slightly higher quality. |
| 3_75 | 3.5 | 6.0 | 23.0 GB | 24.5 GB | 26.5 GB | Lower quality, but pretty usable. Good for 4k context on 24GB. |
| 3_5 | 3.5 | 6.0 | 21.5 GB | 23.0 GB | 25.0 GB | Lower quality, only use if you need more context on 24GB. |
| 3_0 | 3.0 | 6.0 | 18.9 GB | 20.4 GB | 22.4 GB | Very low quality, pushes context to max but likely unusable. |
Download instructions
With git:
git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/mixtral-instruct-0.1-laser-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 mixtral-instruct-0.1-laser-exl2:
mkdir mixtral-instruct-0.1-laser-exl2
huggingface-cli download bartowski/mixtral-instruct-0.1-laser-exl2 --local-dir mixtral-instruct-0.1-laser-exl2 --local-dir-use-symlinks False
To download from a different branch, add the --revision parameter:
Linux:
mkdir mixtral-instruct-0.1-laser-exl2-6_5
huggingface-cli download bartowski/mixtral-instruct-0.1-laser-exl2 --revision 6_5 --local-dir mixtral-instruct-0.1-laser-exl2-6_5 --local-dir-use-symlinks False
Windows (which apparently doesn't like _ in folders sometimes?):
mkdir mixtral-instruct-0.1-laser-exl2-6.5
huggingface-cli download bartowski/mixtral-instruct-0.1-laser-exl2 --revision 6_5 --local-dir mixtral-instruct-0.1-laser-exl2-6.5 --local-dir-use-symlinks False
- Task
- Text Generation
- License
- apache-2.0
- Languages
- fr, it, de, es, en
- Created
- Feb 22, 2024
- Updated
- Feb 22, 2024