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pipeline_tag: text-generation
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3.6-27B/blob/main/LICENSE
model_size: 27B
quantization: Q4_K
architecture: qwen35
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metadata
library_name: transformers
license: apache-2.0
license_link:
https://huggingface.co/Qwen/Qwen3.6-27B/blob/main/LICENSE
pipeline_tag: image-text-to-text
Qwen3.6-27B
This is an optimized, hybrid-quantized version of Qwen 3.6 27B, engineered to run smoothly on consumer hardware.
🚀 Performance Breakthrough
Hardware: Runs directly on CPU with only 16 GB RAM. (Slow but you can)
Minimall Swapping: Minimall lag or heavy disk swapping during inference.
Coding Capable: Tested and proven. Coded a working minigame on the very first try.
🛠️ Quantization Setup
To achieve this extreme memory reduction without destroying the model's intelligence, a mixed-precision strategy was used:
FP32 Tensors
Quantized to Q4_K
FP16 Tensors
Quantized to Q3_K
🔥 BIG THANKS & CREDITS
💥 BIG THX to the Qwen Team! Thank you for giving the open-source community! 🙌
💥 HUGE SHOUTOUT to the llama.cpp devs! Without your legendary inference engine.