Uncensored Qwen 3.5 9B Distilled from Claude Opus

🔑 Enhanced Key Takeaways

• •Qwen3.5-9B base model released by Alibaba on March 1-2, 2026, as part of the Qwen3.5 Small Series optimized for on-device applications with native multimodal capabilities[1][2][3].
• •Achieves frontier-level benchmarks like 70.1 on MMMU-Pro visual reasoning (22.5% higher than GPT-5-Nano) and outperforms 120B models in size-to-performance ratio[2][5].
• •Features Gated Delta Networks, sparse Mixture-of-Experts architecture, and scaled RL training for efficient inference and global 201-language support[3].

🛠️ Technical Deep Dive

• •Architecture: Causal Language Model with Vision Encoder; 9B parameters, hidden dimension 4096, 32 layers, Gated DeltaNet (32 linear attention heads for V, 16 for QK), Gated Attention (16 heads for Q, 4 for KV), head dimension 128/256, FFN intermediate 12288[3].
• •Context Length: 262,144 tokens natively, extensible to 1,010,000 tokens; trained with multi-token prediction (MTP)[3].
• •Key Innovations: Unified vision-language early fusion, sparse MoE for high-throughput inference, scaled RL across million-agent environments, near-100% multimodal training efficiency[1][2][3].

🔮 Future ImplicationsAI analysis grounded in cited sources

⏳ Timeline