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bartowski/wavecoder-ultra-1.1-6.7b-exl2
wavecoder-ultra-1.1-6.7b-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 mit.
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.19"turboderp's ExLlamaV2 v0.0.19</a for quantization.
Downloads · 30 days
10
48% of all-time downloads
All-time downloads
21
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23.6 GB
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.json1.8 MB · 100%
From the Hugging Face model README
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.19">turboderp's ExLlamaV2 v0.0.19</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
Note: They updated the model in place, no idea if there's actually any changes, but tagging this 1.1 just in case
No chat template specified so default is used. This may be incorrect, check original model card for details.
<|begin▁of▁sentence|>[INST] <<SYS>>
{system_prompt}
<</SYS>>
{prompt} [/INST] <|end▁of▁sentence|>
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. |
With git:
git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/wavecoder-ultra-1.1-6.7b-exl2 wavecoder-ultra-1.1-6.7b-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-1.1-6.7b-exl2 --revision 6_5 --local-dir wavecoder-ultra-1.1-6.7b-exl2-6_5 --local-dir-use-symlinks False
Windows (which apparently doesn't like _ in folders sometimes?):
huggingface-cli download bartowski/wavecoder-ultra-1.1-6.7b-exl2 --revision 6_5 --local-dir wavecoder-ultra-1.1-6.7b-exl2-6.5 --local-dir-use-symlinks False
Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski