Downloads · 30 days
2
6% of all-time downloads
OpenHermes-2.5-Code-290k-13B-exl2
bartowski/OpenHermes-2.5-Code-290k-13B-exl2
OpenHermes-2.5-Code-290k-13B-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/v0.0.14"turboderp's ExLlamaV2 v0.0.14</a for quantization.
All-time downloads
32
Public
Repo size
45.6 GB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.json2.2 MB · 100%
At a glance
- Task
- Text Generation
- License
- apache-2.0
- Access
- Public
- Created
- Mar 3, 2024
- Updated
- Mar 3, 2024
- SHA
- 29a911f4
Try a prompt
Model card
From the Hugging Face model README
Exllama v2 Quantizations of OpenHermes-2.5-Code-290k-13B
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.14">turboderp's ExLlamaV2 v0.0.14</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/ajibawa-2023/OpenHermes-2.5-Code-290k-13B
No GQA - VRAM requirements will be higher
| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | Description |
|---|---|---|---|---|---|
| 8_0 | 8.0 | 8.0 | 16.8 GB | 26.2 GB | Near unquantized performance at vastly reduced size, recommended. |
| 6_5 | 6.5 | 8.0 | 14.4 GB | 24.0 GB | Near unquantized performance at vastly reduced size, recommended. |
| 5_0 | 5.0 | 6.0 | 12.1 GB | 21.7 GB | Slightly lower perplexity vs 6.5, can fit in 12 GB card with even lower context. |
| 4_25 | 4.25 | 6.0 | 10.9 GB | 20.5 GB | GPTQ equivalent bits per weight. |
| 3_75 | 3.75 | 6.0 | 10.1 GB | 19.7 GB | Lower quality but still generally usable. |
| 3_0 | 3.0 | 6.0 | 9.1 GB | 18.7 GB | Very low quality, not recommended unless you have to. |
VRAM requirements listed for both 4k context and 16k context since without GQA the differences are massive (9.6 GB)
Download instructions
With git:
git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/OpenHermes-2.5-Code-290k-13B-exl2 OpenHermes-2.5-Code-290k-13B-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 OpenHermes-2.5-Code-290k-13B-exl2:
mkdir OpenHermes-2.5-Code-290k-13B-exl2
huggingface-cli download bartowski/OpenHermes-2.5-Code-290k-13B-exl2 --local-dir OpenHermes-2.5-Code-290k-13B-exl2 --local-dir-use-symlinks False
To download from a different branch, add the --revision parameter:
Linux:
mkdir OpenHermes-2.5-Code-290k-13B-exl2-6_5
huggingface-cli download bartowski/OpenHermes-2.5-Code-290k-13B-exl2 --revision 6_5 --local-dir OpenHermes-2.5-Code-290k-13B-exl2-6_5 --local-dir-use-symlinks False
Windows (which apparently doesn't like _ in folders sometimes?):
mkdir OpenHermes-2.5-Code-290k-13B-exl2-6.5
huggingface-cli download bartowski/OpenHermes-2.5-Code-290k-13B-exl2 --revision 6_5 --local-dir OpenHermes-2.5-Code-290k-13B-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
- License
- apache-2.0
- Languages
- en
- Created
- Mar 3, 2024
- Updated
- Mar 3, 2024