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bagel-34b-v0.5-exl2
Suparious/bagel-34b-v0.5-exl2
bagel-34b-v0.5-exl2 is a text generation model from Suparious. Use it when you need the model to write or continue text. The card lists the license as apache-2.0.
- Model creator: jondurbin - Original model: bagel-34b-v0.5
All-time downloads
53
Public
Repo size
77.4 GB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.json3.3 MB · 61%
At a glance
- Task
- Text Generation
- License
- apache-2.0
- Access
- Public
- Created
- Apr 2, 2024
- Updated
- Jun 24, 2024
- SHA
- 2741fe3b
Try a prompt
Base models
Model card
From the Hugging Face model README
jondurbin/bagel-34b-v0.5 Exl2
- Model creator: jondurbin
- Original model: bagel-34b-v0.5
Model Summary
This is a fine-tune of the updated yi-34b-200k with better long-context support.
See bagel for additional details on the datasets.
The DPO version is available here
How to Use
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/jondurbin/bagel-34b-v0.5
| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
|---|---|---|---|---|---|---|
| 6_5 | 6.5 | 8.0 | 28.9 GB | 31.6 GB | 35.6 GB | Near unquantized performance at vastly reduced size, recommended. |
| 4_25 | 4.25 | 6.0 | 19.5 GB | 22.2 GB | 26.2 GB | GPTQ equivalent bits per weight, slightly higher quality. |
| 3_5 | 3.5 | 6.0 | 16.5 GB | 19.2 GB | 23.2 GB | Lower quality, only use if you have to. |
| 3_0 | 3.0 | 6.0 | 14.3 GB | 17.0 GB | 21.0 GB | Very low quality, usable with 16gb of VRAM. |
Download instructions
With git:
git clone --single-branch --branch 6_5 https://huggingface.co/suparious/bagel-34b-v0.5-exl2 bagel-34b-v0.5-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 bagel-34b-v0.5-exl2:
mkdir bagel-34b-v0.5-exl2
huggingface-cli download suparious/bagel-34b-v0.5-exl2 --local-dir bagel-34b-v0.5-exl2 --local-dir-use-symlinks False
To download from a different branch, add the --revision parameter:
Linux:
mkdir bagel-34b-v0.5-exl2-6_5
huggingface-cli download suparious/bagel-34b-v0.5-exl2 --revision 6_5 --local-dir bagel-34b-v0.5-exl2-6_5 --local-dir-use-symlinks False
Windows (which apparently doesn't like _ in folders sometimes?):
mkdir bagel-34b-v0.5-exl2-6.5
huggingface-cli download suparious/bagel-34b-v0.5-exl2 --revision 6_5 --local-dir bagel-34b-v0.5-exl2-6.5 --local-dir-use-symlinks False
- Task
- Text Generation
- License
- apache-2.0
- Created
- Apr 2, 2024
- Updated
- Jun 24, 2024