Qwen3-Coder 4bit TQ Released
Key point
The Qwen3-Coder-Next 4bit model, quantized using the calibration-free TQ method, has been released, reducing disk usage to 41.7GB.
Details
textclf has released Qwen3-Coder-Next-TQ-4bit, a 4bit quantized version of Qwen3-Coder-Next. Unlike traditional calibration-based methods, this model applies the TQ (Training-free Quantization) technique, which requires no calibration process.
Features of TQ Quantization
- Calibration-free approach: By not relying on calibration data, it avoids bias toward specific tasks and provides better generalization performance on downstream tasks.
- Performance: Maintains performance levels equivalent to existing quantization methods on the KL Divergence (KLD) metric.
- Size: The model size is 41.7GB.
Deployment and Execution
It can be run with vLLM via Docker, enabling TQ quantization with the --quantization tq_quant option. The tool-call parser used is qwen3_coder.
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