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Qwen3.6-27B-TQ3_4S is insanely good! https://huggingface.co/YTan2000/Qwen3.6-27B-TQ3_4S fit on my 16GB with 32k context Two prompts and I ge…
Qwen3.6-27B-TQ3_4S is a quantized 27 billion parameter language model that fits on 16GB of VRAM while supporting a 32k token context window, demonstrating strong performance across tested prompts. The
Qwen3.6-27B-TQ3_4S is a quantized 27 billion parameter language model that fits on 16GB of VRAM while supporting a 32k token context window, demonstrating strong performance across tested prompts. The TQ3_4S quantization appears to offer an effective balance between model capability and memory efficiency for consumer-grade hardware. This model variant is available on Hugging Face and represents a viable option for running large language models on resource-constrained systems.
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Source: Clem Delangue (X) | 2026-04-22