Downloads · 30 days
258
21% of all-time downloads
Qwen3.8-27B-EXL3-2.0bpw
Mia-AiLab/Qwen3.8-27B-EXL3-2.0bpw
Qwen3.8-27B-EXL3-2.0bpw is a image-text-to-text model from Mia-AiLab. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
⚠️ This is a mirror repository. All credit for the quantization goes to turboderp. Original repository: turboderp/Qwen3.8-27B-exl3 (branch: SC2.00bpwH3V3) This repo exists solely to provide an alternative download sou…
All-time downloads
1.2K
Public
Parameters
4.8B
9.7 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors9.7 GB · 100%
Parameter types
How the weights are stored.
I163.4B · 71%
Try a prompt
Model card
From the Hugging Face model README
Qwen3.8-27B-EXL3 2.0bpw (Mirror)
⚠️ This is a mirror repository. All credit for the quantization goes to turboderp.
Original repository: turboderp/Qwen3.8-27B-exl3 (branch:
SC_2.00bpw_H3_V3)This repo exists solely to provide an alternative download source. I did not create this quant — it is an exact copy of turboderp's work.
Model Details
- Base model: Qwen/Qwen3.8-27B
- Quantization: EXL3, 2.0 bits per weight (SC_2.00bpw_H3_V3)
- Quantized by: turboderp
- Format: EXL3 (ExLlamaV3)
- Size: ~9.7 GB
About
This is an EXL3 quantization of Qwen3.8-27B, a native vision-language model with 27B parameters. The quantization was performed by turboderp using the ExLlamaV3 framework.
For usage instructions, benchmarks, and technical details, please refer to the original repository.
Usage
Use with ExLlamaV3 or compatible inference engines (e.g., text-generation-webui with EXL3 support).
License
Apache-2.0 (inherited from the base model)
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- qwen3_5
- License
- apache-2.0
- Created
- Sep 1, 2026
- Updated
- Sep 1, 2026