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Local LLM Guide

Model

Qwen3.6 35B-A3B

Start with a supported compressed build and short context. 64GB RAM estimate. Best use: High-memory MoE testing, local agents, coding, and multimodal workflows.

35B total / 3B activeMultimodal

Best use

High-memory MoE testing, local agents, coding, and multimodal workflows.

Memory planning

64GB RAM estimate

Expected pace

Depends on your hardware, app, and conversation length

License

Apache-2.0; read the model’s terms before use

Who should use this model?

  • High-memory MoE testing, local agents, coding, and multimodal workflows.

Choose something else when

  • You expect A3B active parameters to mean tiny memory use.

What hardware makes sense?

The download is only part of the memory needed. Leave room for the app, the input it processes, and other open programs. For chat models, context includes the instructions, conversation, and answer. Longer context needs more memory.

CPU only
Use a smaller model for this memory limit.
8GB system memory
Use a smaller model for this memory limit.
16GB system memory
Use a smaller model for this memory limit.
32GB system memory
Memory or response time may limit use. Try a smaller model first.
8GB GPU memory
Use a smaller model for this memory limit.
12GB GPU memory
Use a smaller model for this memory limit.
24GB GPU memory
Use a smaller model for this memory limit.
Apple unified memory
Memory or response time may limit use. Try a smaller model first.

Model facts that change the decision

Parameters
35B total / 3B active
Input
Text · Image
Published context limit
262,144 tokens
Model format
safetensors · GGUF · Ollama · MLX
Suggested compression
Q4_K_M for first local attempts unless a cited runtime recommends a different default.
Typical Q4 file
24GB before runtime and context overhead
Languages
Unknown

Using image input

This model needs an app or library that supports its image-processing components. Follow the exact model’s instructions for preparing image inputs. Some GGUF downloads also need a matching projector file; loading the text model alone does not establish image support.

First setup

Ollama

ollama run qwen3.6:35b-a3b

LM Studio: Check that your installed app supports the exact model format and task before downloading it.

llama.cpp

Use a cited GGUF build with current llama.cpp-compatible tooling.

Conditions that change the answer

  • A3B means about 3B active parameters per token, not a 3B download or 3GB memory footprint.
  • The Q4 model is larger than Qwen3.6 27B Q4.
  • For most beginners, Qwen3.5 9B is the better first recommendation.
  • Commercial use: permitted
  • A high-end MoE Qwen3.6 option for users who want the newer Qwen multimodal agent stack but prefer an active-parameter MoE profile over a dense 27B model.

Read the controlling license text →