Qwen3-4B GGUF Text Encoder
GGUF quantized version of Qwen3-4B language model, essential text encoder for Z-Image GGUF deployments with thinking mode support
Overview
Qwen3-4B-GGUF is the required text encoder for Z-Image GGUF deployments, providing bilingual (Chinese/English) understanding and advanced reasoning capabilities. Supports unique thinking mode for complex logical reasoning tasks.
Features
- 4B parameters with efficient GGUF quantization
- Seamless switching between thinking and non-thinking modes
- Excellent bilingual text understanding (Chinese & English)
- 32K native context length (131K with YaRN)
- Superior reasoning, coding, and math capabilities
- 36 layers with GQA architecture (32 Q heads, 8 KV heads)
- Multiple quantization levels (Q4_K_M recommended)
Images

Installation
Download GGUF file and place in ComfyUI/models/text_encoders/ directory
Usage
Use as text encoder with Z-Image GGUF models in ComfyUI. Supports enable_thinking parameter for activating reasoning mode.
Requirements
- 4GB+ VRAM for text encoding
- Compatible with Z-Image GGUF models
- ComfyUI GGUF extension
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