Qwen3.6-27B: Flagship-Level Coding in a 27B Dense Model
Qwen has released Qwen3.6-27B, a dense 27-billion-parameter multimodal model designed for advanced coding tasks. This model aims to provide flagship-level agentic coding performance, surpassing previous open-source models in this category. Various community members have already made different quantized versions of Qwen3.6-27B available on Hugging Face, facilitating its use across different platforms and libraries. AI
IMPACT Sets a new benchmark for dense coding models, potentially influencing future development in agentic AI and code generation.
- Hugging Face
- DeepSeek AI
- Mixture-of-Experts
- DeepSeek-V4-Pro
- DeepSeek-V4-Flash
- SGLang
- Transformers
- vLLM
- Manifold-Constrained Hyper-Connections
- Muon Optimizer
- Heavily Compressed Attention
- Compressed Sparse Attention
- OBLITERATUS/Qwen3.6-27B-OBLITERATED
- unsloth/Qwen3.6-35B-A3B-MTP-GGUF
- Qwen
- Jackrong/Qwopus3.5-9B-Coder-MTP-GGUF
- unsloth/Qwen3.6-27B-MTP-GGUF
- Jackrong/Qwopus3.5-9B-Coder-GGUF
- CohereLabs/command-a-plus-05-2026-w4a4
- Qwen3.6-27B
- Jackrong/Qwopus3.6-27B-v2-GGUF
- sapientinc/HRM-Text-1B
- Jackrong/Qwopus3.6-27B-v2-MTP-GGUF