Downloads · 30 days
3
8% of all-time downloads
MadWizard-SFT-v2-Mistral-7b-v0.3-exl2
bartowski/MadWizard-SFT-v2-Mistral-7b-v0.3-exl2
MadWizard-SFT-v2-Mistral-7b-v0.3-exl2 is a text generation model from bartowski. Use it when you need the model to write or continue text. It is set up for transformers.
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.1.5"turboderp's ExLlamaV2 v0.1.5</a for quantization.
All-time downloads
37
Public
Repo size
25.4 GB
Likes
2
Public
Repo makeup
Click a slice to open those files.
.json1.8 MB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- Access
- Public
- Created
- Jun 17, 2024
- Updated
- Jun 17, 2024
- SHA
- d5266baf
Try a prompt
Model card
From the Hugging Face model README
Exllama v2 Quantizations of MadWizard-SFT-v2-Mistral-7b-v0.3
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.1.5">turboderp's ExLlamaV2 v0.1.5</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/Lumpen1/MadWizard-SFT-v2-Mistral-7b-v0.3
Prompt format
<|im_start|> system
{system_prompt}<|im_end|>
<|im_start|> user
{prompt}<|im_end|>
<|im_start|> assistant
Available sizes
| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
|---|---|---|---|---|---|---|
| 8_0 | 8.0 | 8.0 | 8.4 GB | 9.8 GB | 11.8 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
| 6_5 | 6.5 | 8.0 | 7.2 GB | 8.6 GB | 10.6 GB | Very similar to 8.0, good tradeoff of size vs performance, recommended. |
| 5_0 | 5.0 | 6.0 | 6.0 GB | 7.4 GB | 9.4 GB | Slightly lower quality vs 6.5, but usable on 8GB cards. |
| 4_25 | 4.25 | 6.0 | 5.3 GB | 6.7 GB | 8.7 GB | GPTQ equivalent bits per weight, slightly higher quality. |
| 3_5 | 3.5 | 6.0 | 4.7 GB | 6.1 GB | 8.1 GB | Lower quality, only use if you have to. |
Download instructions
With git:
git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/MadWizard-SFT-v2-Mistral-7b-v0.3-exl2 MadWizard-SFT-v2-Mistral-7b-v0.3-exl2-6_5
With huggingface hub (credit to TheBloke for instructions):
pip3 install huggingface-hub
To download a specific branch, use the --revision parameter. For example, to download the 6.5 bpw branch:
Linux:
huggingface-cli download bartowski/MadWizard-SFT-v2-Mistral-7b-v0.3-exl2 --revision 6_5 --local-dir MadWizard-SFT-v2-Mistral-7b-v0.3-exl2-6_5
Windows (which apparently doesn't like _ in folders sometimes?):
huggingface-cli download bartowski/MadWizard-SFT-v2-Mistral-7b-v0.3-exl2 --revision 6_5 --local-dir MadWizard-SFT-v2-Mistral-7b-v0.3-exl2-6.5
Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski
- Task
- Text Generation
- Library
- transformers
- Created
- Jun 17, 2024
- Updated
- Jun 17, 2024