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sparsetral-16x7B-v2-exl2
bartowski/sparsetral-16x7B-v2-exl2
sparsetral-16x7B-v2-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
27
Public
Repo size
25.7 GB
Likes
9
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 6, 2024
- Updated
- Feb 8, 2024
- SHA
- c28aa39f
Try a prompt
Datasets
Model card
From the Hugging Face model README
Exllama v2 Quantizations of sparsetral-16x7B-v2
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/serpdotai/sparsetral-16x7B-v2
| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
|---|---|---|---|---|---|---|
| 8_0 | 8.0 | 8.0 | 8.3 GB | 9.7 GB | 11.8 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
| 6_5 | 6.5 | 8.0 | 7.1 GB | 8.5 GB | 10.6 GB | Very similar to 8.0, good tradeoff of size vs performance, recommended. |
| 5_0 | 5.0 | 6.0 | 5.7 GB | 7.1 GB | 9.2 GB | Slightly lower quality vs 6.5, but usable on 8GB cards. |
| 4_25 | 4.25 | 6.0 | 5.1 GB | 6.5 GB | 8.6 GB | GPTQ equivalent bits per weight, slightly higher quality. |
| 3_5 | 3.5 | 6.0 | 4.4 GB | 5.8 GB | 7.9 GB | Lower quality, only use if you have to. |
Download instructions
With git:
git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/sparsetral-16x7B-v2-exl2 sparsetral-16x7B-v2-exl2-6_5
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 sparsetral-16x7B-v2-exl2:
mkdir sparsetral-16x7B-v2-exl2
huggingface-cli download bartowski/sparsetral-16x7B-v2-exl2 --local-dir sparsetral-16x7B-v2-exl2 --local-dir-use-symlinks False
To download from a different branch, add the --revision parameter:
Linux:
mkdir sparsetral-16x7B-v2-exl2-6_5
huggingface-cli download bartowski/sparsetral-16x7B-v2-exl2 --revision 6_5 --local-dir sparsetral-16x7B-v2-exl2-6_5 --local-dir-use-symlinks False
Windows (which apparently doesn't like _ in folders sometimes?):
mkdir sparsetral-16x7B-v2-exl2-6.5
huggingface-cli download bartowski/sparsetral-16x7B-v2-exl2 --revision 6_5 --local-dir sparsetral-16x7B-v2-exl2-6.5 --local-dir-use-symlinks False
Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski
- Task
- Text Generation
- License
- apache-2.0
- Languages
- en
- Created
- Feb 6, 2024
- Updated
- Feb 8, 2024