qwen3.6-35b-a3b

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Qwen3.6-35B is a post-trained causal language model that uses a hybrid stack of Gated DeltaNet and Gated Attention blocks with sparse Mixture-of-Experts routing. It has 35 billion total parameters with 3 billion activated per token.

Key capabilities include:

• Advanced reasoning and instruction following
• Agentic coding and repository-level reasoning
• Tool use and agent workflows
• Support for 201 languages and dialects
• A native 262,144-token context window