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FuseLLM-7B-exl2
bartowski/FuseLLM-7B-exl2
FuseLLM-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 apache-2.0.
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.11"turboderp's ExLlamaV2 v0.0.11</a for quantization.
All-time downloads
39
Public
Repo size
23.9 GB
Likes
3
Public
Repo makeup
Click a slice to open those files.
.json1.8 MB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Access
- Public
- Created
- Jan 22, 2024
- Updated
- Jan 22, 2024
- SHA
- ef0e7957
Try a prompt
Model card
From the Hugging Face model README
Exllama v2 Quantizations of FuseLLM-7B
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.11">turboderp's ExLlamaV2 v0.0.11</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/Wanfq/FuseLLM-7B
No GQA - VRAM requirements will be higher
| Branch | Bits | lm_head bits | Size (4k) | Size (16k) | Description |
|---|---|---|---|---|---|
| 8_0 | 8.0 | 8.0 | 9.4 GB | 15.6 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
| 6_5 | 6.5 | 8.0 | 8.6 GB | 14.8 GB | Near unquantized performance at vastly reduced size, recommended. |
| 5_0 | 5.0 | 6.0 | 7.2 GB | 13.4 GB | Slightly lower quality vs 6.5, but usable on 8GB cards with 4k context. |
| 4_25 | 4.25 | 6.0 | 6.5 GB | 12.7 GB | GPTQ equivalent bits per weight. |
| 3_5 | 3.5 | 6.0 | 5.9 GB | 12.1 GB | Lower quality, not recommended. |
VRAM requirements listed for both 4k context and 16k context since without GQA the differences are massive (6.2 GB)
Download instructions
With git:
git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/FuseLLM-7B-exl2 FuseLLM-7B-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 FuseLLM-7B-exl2:
mkdir FuseLLM-7B-exl2
huggingface-cli download bartowski/FuseLLM-7B-exl2 --local-dir FuseLLM-7B-exl2 --local-dir-use-symlinks False
To download from a different branch, add the --revision parameter:
mkdir FuseLLM-7B-exl2-6_5
huggingface-cli download bartowski/FuseLLM-7B-exl2 --revision 6_5 --local-dir FuseLLM-7B-exl2-6_5 --local-dir-use-symlinks False
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Languages
- en
- Created
- Jan 22, 2024
- Updated
- Jan 22, 2024