Qwen 3.5 is a family of open-source multimodal models that delivers exceptional utility and performance.
20.9M Pulls 64 Tags Updated 3 weeks ago
MiMo-V2.6-Distill-9B (Qwen3.5-9B SFT): coding, agent tasks, visual coding, cybersecurity. Thinking + instruct quants, multimodal.
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Fine-tuned derivative of Qwen3.5-4B, trained on GPT 5.6 Sol, Luna, and Fable 5.1 traces (Use latest version)
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Qwen3.5-9B-The-Defiant-Fable-Uncensored-Heretic-NEO-IMATRIX-MAX-MTP-GGUF
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Text + Vision Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-MTP-GGUF-NVFP4
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Qwen 3.5 Abliterated 9B customized for truthful, direct, and technically rigorous responses. Designed to challenge incorrect assumptions, identify contradictions, avoid hallucinations, and prioritize accuracy over agreement. Strong capabilities in reasoni
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Four-way omnimerge_v2 over Qwen3.5-9B (DeltaCoder 0.55 / Qwopus 0.30 / Ornith 0.15), built for multi-turn agentic coding: it keeps a task moving across turns and tool calls instead of re-issuing the same call. 9B dense, MTP head
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WeMM-Embedding-2B is a universal multimodal embedding model built on Qwen3.5.
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Nex-N2.5-mini (nex-agi) : MoE 35B / ~3B actifs post-trained on Qwen3.5-35B-A3B. Vision, tool-calling, reasoning, 256k context. Quants Q5_K_M, Q4_K_M (latest), Q3_K_M, Q2_K.
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ollama run hf.co/HauhauCS/Qwen3.5-4B-Uncensored-HauhauCS-Aggressive:BF16
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hf.co/HauhauCS/Qwen3.5-4B-Uncensored-HauhauCS-Aggressive:Q4_K_M
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