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Anthonyg5005/ReMM-v2.2-L2-13B-exl2
ReMM-v2.2-L2-13B-exl2 is a text generation model from Anthonyg5005. Use it when you need the model to write or continue text. It is set up for ExLlamaV2. The card lists the license as cc-by-nc-4.0.
This repository includes the quantized models for the ReMM V2.2 model by Undi. ReMM is a model merge attempting to recreate MythoMax using the SLERP merging method and newer models.
Downloads · 30 days
14
4% of all-time downloads
All-time downloads
339
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26.7 GB
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.safetensors5.4 GB · 100%
From the Hugging Face model README
This repository includes the quantized models for the ReMM V2.2 model by Undi. ReMM is a model merge attempting to recreate MythoMax using the SLERP merging method and newer models.
| exl2 Quant | Model Branch | Model Size | Minimum Recommended VRAM (4096 Context, fp16 cache) | BPW |
|---|---|---|---|---|
| 3-Bit | main | 5.44 GB | 8GB GPU | 3.14 |
| 3-Bit | 3bit | 6.36 GB | 10GB GPU | 3.72 |
| 4-Bit | 4bit | 7.13 GB | 12GB GPU (10GB with swap) | 4.2 |
| 4-Bit | 4.6bit | 7.81 GB | 12GB GPU | 4.63 |
| 5-Bit | R136a1's Repo | 8.96 GB | 16GB GPU (12GB with swap) | 5.33 |
There are a couple places you can use an exl2 model, here are a few:
use something like download-model.py to download with python requests.
Install requirements:
pip install requests tqdm
Example for downloading 3bpw:
python download-model.py Anthonyg5005/ReMM-v2.2-L2-13B-exl2:3bit
You may also use huggingface-cli
To install it, install python hf-hub
pip install huggingface-hub
Example for 3bpw:
huggingface-cli download Anthonyg5005/ReMM-v2.2-L2-13B-exl2 --local-dir ReMM-v2.2-L2-13B-exl2-3bpw --revision 3bit
I would recommend the http downloaders over using git, they can resume downloads if failed and are much easier to work with.
Make sure to have git and git LFS installed.
Example for 3bpw download with git:
Have LFS file skip disabled
# windows
set GIT_LFS_SKIP_SMUDGE=0
# linux
export GIT_LFS_SKIP_SMUDGE=0
Clone repo branch
git clone https://huggingface.co/Anthonyg5005/ReMM-v2.2-L2-13B-exl2 -b 3bit