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Buttercup-4x7B-V2-laser-exl2
bartowski/Buttercup-4x7B-V2-laser-exl2
Buttercup-4x7B-V2-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
49
Public
Repo size
95.6 GB
Likes
3
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 19, 2024
- Updated
- Feb 20, 2024
- SHA
- 8e105bf0
Try a prompt
Model card
From the Hugging Face model README
Exllama v2 Quantizations of Buttercup-4x7B-V2-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>
Original model: https://huggingface.co/Kquant03/Buttercup-4x7B-V2-laser
Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
|---|---|---|---|---|---|---|
| 8_0 | 8.0 | 8.0 | 24.8 GB | 26.3 GB | 28.3 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
| 6_5 | 6.5 | 8.0 | 20.3 GB | 21.8 GB | 23.8 GB | Near unquantized performance at vastly reduced size, recommended. |
| 5_0 | 5.0 | 6.0 | 15.8 GB | 17.3 GB | 19.3 GB | Slightly lower quality vs 6.5. |
| 4_25 | 4.25 | 6.0 | 14.0 GB | 15.5 GB | 17.5 GB | GPTQ equivalent bits per weight, slightly higher quality, great for 16gb cards with 16k context. |
| 3_5 | 3.5 | 6.0 | 11.3 GB | 12.8 GB | 14.8 GB | Lower quality, not recommended, only suitable for 12GB cards. |
Download instructions
With git:
git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/Buttercup-4x7B-V2-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 Buttercup-4x7B-V2-laser-exl2:
mkdir Buttercup-4x7B-V2-laser-exl2
huggingface-cli download bartowski/Buttercup-4x7B-V2-laser-exl2 --local-dir Buttercup-4x7B-V2-laser-exl2 --local-dir-use-symlinks False
To download from a different branch, add the --revision parameter:
Linux:
mkdir Buttercup-4x7B-V2-laser-exl2-6_5
huggingface-cli download bartowski/Buttercup-4x7B-V2-laser-exl2 --revision 6_5 --local-dir Buttercup-4x7B-V2-laser-exl2-6_5 --local-dir-use-symlinks False
Windows (which apparently doesn't like _ in folders sometimes?):
mkdir Buttercup-4x7B-V2-laser-exl2-6.5
huggingface-cli download bartowski/Buttercup-4x7B-V2-laser-exl2 --revision 6_5 --local-dir Buttercup-4x7B-V2-laser-exl2-6.5 --local-dir-use-symlinks False
- Task
- Text Generation
- License
- apache-2.0
- Languages
- en
- Created
- Feb 19, 2024
- Updated
- Feb 20, 2024