LocalClaw/LLM/Qwen 3.5 (27B)
Open-weight local LLM

Qwen 3.5 (27B)

Catalogue summary: Dense 27B powerhouse. Hybrid thinking/non-thinking mode. Strong multilingual (29+ languages). 256K context window. Excellent instruction-following and math. Apache 2.0.

Repository editorial metadata; verify comparative claims in the linked upstream material.

32 GB catalogue minimum32 GB RAMQ4_K_MCoding assistant
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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) has a catalogue minimum of 32 GB RAM with Q4_K_M. Actual memory use and speed vary by context length, runtime, backend and system headroom.

Use qwen3.5-27b as the catalogue search term in a compatible runtime, and confirm the available format on the upstream repository before download.

Public GGUF repository (verified 2026-09-07): unsloth/Qwen3.5-27B-GGUFUpstream releasePaper or model cardLicence text
chatcodereasoningpowergeneral

Install path

01
Check RAM fitMinimum 32 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch qwen3.5-27b in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Catalogue record

  • Family: qwen
  • Parameters: 27B
  • Recommended quantization: Q4_K_M
  • Catalogue minimum RAM: 32 GB
  • Catalogue model size: 17 GB
  • Tags: chat, code, reasoning, power, general

Practical limits

  • Catalogue RAM is a minimum estimate, not a guarantee for every context length or runtime.
  • Speed and memory use vary by quantization, backend, context length and system headroom.
  • Verify architecture, licence and usage restrictions in the linked upstream material before deployment.

Catalogue tags

  • chat
  • code
  • reasoning
  • power
  • general

Capability profile

Repository catalogue ratings used by LocalClaw's editorial rubric. They are not a standardized third-party benchmark.

speed
5
quality
9
coding
8
reasoning
9

Technical notes

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.

This model fits these next steps

Hardware fit is based on LocalClaw's RAM tier, model size and quantization metadata. Always leave memory headroom for your OS and runtime.

Comfortable headroomMac mini M4 Pro 48GBMobile workstationMacBook Pro M4 Max 36GBPower-user picks32GB RAM guide

Related catalogue entries

Linked mechanically by family, shared tags and nearby RAM tier; this is not a quality ranking.

Qwen 3 (32B) 32BQwen 3 (14B) 14BQwen 3.6 (27B) 27BQwen 3.6 35B-A3B 35B (3B active, MoE)Qwen AgentWorld 35B-A3B 35B (3B active, MoE)Qwen3.8-27B 27BQwen 3.5 MoE (35B/3B active) 35B (3B active)Qwen 2.5 (14B) 14B

Where to go next