Alibaba Cloud (Qwen) - Mixture of experts - verified
Run Qwen3.6-35B-A3B locally
Qwen3.6-35B-A3B is a 36B mixture-of-experts (3B active) model from Alibaba Cloud (Qwen) with a 262K-token context window, released under Apache License 2.0 (commercial use is allowed); the smallest listed download is 20.4 GB, the 4bit MLX build from mlx-community/Qwen3.6-35B-A3B-4bit.
Official weights: Qwen/Qwen3.6-35B-A3B - modalities: text, image, video
- Total params
- 36B
- Active params
- 3B
- Context
- 262K
- Smallest download
- 20.4 GB
Fits in
Smallest download at most 85% of memoryDownloads
The official weights and every quantization listed for this model, with file sizes from Hugging Face.
| Download | Format | Size | Repo |
|---|---|---|---|
Official weights | BF16 | 71.9 GB | Qwen/Qwen3.6-35B-A3B |
UD-Q4_K_M | GGUF | 22.1 GB | unsloth/Qwen3.6-35B-A3B-GGUF |
Q8_0 | GGUF | 36.9 GB | unsloth/Qwen3.6-35B-A3B-GGUF |
4bitSmallest listed | MLX | 20.4 GB | mlx-community/Qwen3.6-35B-A3B-4bit |
GB is decimal: 1 GB = 10^9 bytes. Add memory for the context and the operating system on top of the file size.
Run it
Copied verbatim from the page linked under each command. Server commands from model cards often assume a multi-GPU node; check the flags before you run them.
vLLM
vllm serve Qwen/Qwen3.6-35B-A3B --port 8000 --tensor-parallel-size 8 --max-model-len 262144 --reasoning-parser qwen3SGLang
python -m sglang.launch_server --model-path Qwen/Qwen3.6-35B-A3B --port 8000 --tp-size 8 --mem-fraction-static 0.8 --context-length 262144 --reasoning-parser qwen3Transformers
transformers serve Qwen/Qwen3.6-35B-A3B --port 8000 --continuous-batchingNot sure which runtime to use? Compare local LLM runtimes by platform, API and features.
License
- License
- Apache License 2.0
apache-2.0 - Commercial use
- Commercial use: YesCommercial use is allowed.
- Gated download
- No. The files download directly.
Worth knowing
Thinking mode is on by default, and the card advises keeping a context length of at least 128K tokens to preserve thinking capabilities.
Released (Hugging Face repo creation date).
FAQ
How big is the Qwen3.6-35B-A3B download?
The official BF16 weights in Qwen/Qwen3.6-35B-A3B are 71.9 GB. The smallest listed download is 20.4 GB, the 4bit MLX build from mlx-community/Qwen3.6-35B-A3B-4bit. Plan for more memory than the file size: the context (KV cache) and the operating system need room too.
Can I use Qwen3.6-35B-A3B commercially?
Qwen3.6-35B-A3B is released under Apache License 2.0, and commercial use is allowed. The license text is at https://huggingface.co/Qwen/Qwen3.6-35B-A3B/blob/main/LICENSE.
How much memory do I need for Qwen3.6-35B-A3B?
By this directory's rule of thumb it fits in 32 GB and up: the smallest listed download, 20.4 GB, is at most 85% of 32 GB, which leaves room for the context and the operating system.
How do I run Qwen3.6-35B-A3B with Ollama?
Run "ollama run qwen3.6", as shown at https://ollama.com/library/qwen3.6. The Ollama library lists the qwen3.6:35b tag at 23GB - 24GB.
What is the context length of Qwen3.6-35B-A3B?
262,144 tokens. A longer context needs more memory for the KV cache, so you can run with a shorter one when memory is tight.
Sources
Last verified from the pages below.
- HF API (params, license, createdAt) - huggingface.co
- HF file tree - huggingface.co
- Model card (35B total, 3B activated) - huggingface.co
- Ollama library - ollama.com
- unsloth GGUF tree - huggingface.co
- mlx-community 4bit tree - huggingface.co
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