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nullrunner/Qwen3-VL-32B-Thinking-EXL3-3.5bpw
Qwen3-VL-32B-Thinking-EXL3-3.5bpw is a image-text-to-text model from nullrunner. 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 exllamav3. The card lists the license as apache-2.0.
ExLlamaV3 quantization of Qwen/Qwen3-VL-32B-Thinking - A vision-language model with enhanced reasoning capabilities.
Downloads · 30 days
6
2% of all-time downloads
All-time downloads
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17 GB on disk
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.safetensors17 GB · 100%
How the weights are stored.
I167.1B · 84%
From the Hugging Face model README
ExLlamaV3 quantization of Qwen/Qwen3-VL-32B-Thinking - A vision-language model with enhanced reasoning capabilities.
| Parameter | Value |
|---|---|
| Bits per Weight | 3.5 bpw |
| Head Bits | 6 bpw |
| Calibration Rows | 128 |
| Calibration Context | 4096 tokens |
| Format | ExLlamaV3 (EXL3) |
| Size | ~17 GB |
<think>...</think> tags for complex visual reasoning| GPU | VRAM | Notes |
|---|---|---|
| RTX 4090 | 24 GB | Fits with moderate context + images |
| RTX 3090 | 24 GB | Works, may need lower context with large images |
| A100 40GB | 40 GB | Comfortable for all use cases |
# config.yml
model:
model_dir: models
model_name: Qwen3-VL-32B-Thinking-EXL3-3.5bpw
network:
host: 0.0.0.0
port: 5000
model_defaults:
max_seq_len: 16384
cache_mode: Q4
Visual Reasoning (detailed analysis):
Quick Visual Tasks (fast responses):
This is a quantization of Qwen/Qwen3-VL-32B-Thinking. All credit for the base model goes to the Qwen team at Alibaba.
Apache 2.0 (inherited from base model)