Local LLM model page
Qwen 3.5 (27B)
Dense 27B powerhouse. Hybrid thinking/non-thinking mode. Strong multilingual (29+ languages). 256K context window. Excellent instruction-following and math. Apache 2.0.
Parameters
27B
Minimum RAM
32 GB
Model size
17 GB
Quantization
Q4_K_M
Can Qwen 3.5 (27B) run locally?
Qwen 3.5 (27B) is best suited for power-user machines with 32 GB RAM. LocalClaw recommends Q4_K_M as the default quantization, with at least 32 GB RAM.
Search term for LM Studio or compatible runtimes: qwen3.5-27b
Hugging Face repository: unsloth/Qwen3.5-27B-GGUF
chatcodereasoningpowergeneral
Strengths
- Dense model = predictable, stable inference quality
- Hybrid thinking mode — toggle chain-of-thought on/off
- 256K context window
- Strong multilingual support (29+ languages)
- Excellent instruction following and math reasoning
- Apache 2.0 — fully commercial
Limitations
- Dense 27B requires ~32GB RAM for Q4_K_M
- Slower than 35B-A3B despite similar quality
- Needs RTX 4090 or Mac with 32GB+ for comfortable use
Best use cases
- General-purpose AI assistant
- Multilingual content creation (29 languages)
- Complex reasoning and analysis
- Professional code generation
- Long document summarization
- Research and academic writing
Benchmarks
Speed: 5/10
Quality: 9/10
Coding: 8/10
Reasoning: 9/10
Technical details
Developer: Alibaba Cloud (Qwen Team)
License: Apache 2.0
Context window: 262,144 tokens
Architecture: Dense Transformer — 27B parameters. Hybrid thinking/non-thinking mode. No MoE sparsity.
Released: 2025-08