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wavecoder-ultra-6.7b-exl2
bartowski/wavecoder-ultra-6.7b-exl2
wavecoder-ultra-6.7b-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. The card lists the license as other.
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.18"turboderp's ExLlamaV2 v0.0.18</a for quantization.
All-time downloads
14
Public
Repo size
23.9 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.json1.8 MB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- other
- Access
- Public
- Created
- Apr 15, 2024
- Updated
- Apr 15, 2024
- SHA
- 861da839
Try a prompt
Datasets
Model card
From the Hugging Face model README
Exllama v2 Quantizations of wavecoder-ultra-6.7b
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/microsoft/wavecoder-ultra-6.7b
Prompt format
This seems to follow the DeepSeek coder format, aka Alpaca.
{system_prompt}
### Instruction: {prompt}
### Response:
Available sizes
No GQA - VRAM requirements will be higher
| Branch | Bits | lm_head bits | Size (4k) | Size (16k) | Description |
|---|---|---|---|---|---|
| 8_0 | 8.0 | 8.0 | 9.0 GB | 15.2 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
| 6_5 | 6.5 | 8.0 | 8.2 GB | 14.4 GB | Near unquantized performance at vastly reduced size, recommended. |
| 5_0 | 5.0 | 6.0 | 6.8 GB | 13.0 GB | Slightly lower quality vs 6.5, but usable on 8GB cards with 4k context. |
| 4_25 | 4.25 | 6.0 | 6.1 GB | 12.3 GB | GPTQ equivalent bits per weight. |
| 3_5 | 3.5 | 6.0 | 5.5 GB | 11.7 GB | Lower quality, not recommended. |
Download instructions
With git:
git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/wavecoder-ultra-6.7b-exl2 wavecoder-ultra-6.7b-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/wavecoder-ultra-6.7b-exl2 --revision 6_5 --local-dir wavecoder-ultra-6.7b-exl2-6_5 --local-dir-use-symlinks False
Windows (which apparently doesn't like _ in folders sometimes?):
huggingface-cli download bartowski/wavecoder-ultra-6.7b-exl2 --revision 6_5 --local-dir wavecoder-ultra-6.7b-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
- Library
- transformers
- License
- other
- Created
- Apr 15, 2024
- Updated
- Apr 15, 2024