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Kunocchini-7b-128k-test-exl2
bartowski/Kunocchini-7b-128k-test-exl2
Kunocchini-7b-128k-test-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/v0.0.13"turboderp's ExLlamaV2 v0.0.13</a for quantization.
All-time downloads
35
Public
Repo size
25.7 GB
Likes
4
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
- Feb 7, 2024
- Updated
- Feb 7, 2024
- SHA
- c74a8e04
Try a prompt
Base models
Model card
From the Hugging Face model README
Exllama v2 Quantizations of Kunocchini-7b-128k-test
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.13">turboderp's ExLlamaV2 v0.0.13</a> for quantization.
The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)
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/Test157t/Kunocchini-7b-128k-test
| 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/Kunocchini-7b-128k-test-exl2 Kunocchini-7b-128k-test-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 Kunocchini-7b-128k-test-exl2:
mkdir Kunocchini-7b-128k-test-exl2
huggingface-cli download bartowski/Kunocchini-7b-128k-test-exl2 --local-dir Kunocchini-7b-128k-test-exl2 --local-dir-use-symlinks False
To download from a different branch, add the --revision parameter:
Linux:
mkdir Kunocchini-7b-128k-test-exl2-6_5
huggingface-cli download bartowski/Kunocchini-7b-128k-test-exl2 --revision 6_5 --local-dir Kunocchini-7b-128k-test-exl2-6_5 --local-dir-use-symlinks False
Windows (which apparently doesn't like _ in folders sometimes?):
mkdir Kunocchini-7b-128k-test-exl2-6.5
huggingface-cli download bartowski/Kunocchini-7b-128k-test-exl2 --revision 6_5 --local-dir Kunocchini-7b-128k-test-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
- Created
- Feb 7, 2024
- Updated
- Feb 7, 2024