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Qwen 3.5 9B · Ollama
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  • isotnek/qwen3.5

    *TEXT-ONLY* Unsloth Quantization of Qwen3.5:9B

    tools thinking

    1,687  Pulls 1  Tag Updated  5 months ago

  • yafito/artier1.1

    Artier1.1 adalah model AI coding assistant berbasis Ollama, hasil fine-tuning dari Qwen3.5:9B, dikembangkan oleh Muhammad Yafie Yulianto (yafitofito) di Indonesia untuk mendukung riset pendidikan dan pembelajaran berbasis kecerdasan buatan.

    vision tools thinking

    16  Pulls 1  Tag Updated  1 month ago

  • srchmnmichael/qwen3.5-9B-uncensored

    Qwen3.5-9B-The-Defiant-Fable-Uncensored-Heretic-NEO-IMATRIX-MAX-MTP-GGUF

    745  Pulls 4  Tags Updated  3 days ago

  • lcz2026/Qwen3.5-DeepSeek-V4-9B-Flash

    70  Pulls 1  Tag Updated  3 days ago

  • mitcheffendi/qwen3.5-hermes-discipline-96k

    My personal Hermes Agent-focused model configs for Qwen3.5:9b. Based on edtorre's work.

    vision tools thinking

    115  Pulls 1  Tag Updated  1 week ago

  • richardyoung/qwythos-9b-abliterated

    Abliterated build of Qwythos-9B-Claude-Mythos, a Claude-style creative & reasoning model (Qwen3.5-9B base) with refusals further reduced via the Heretic library.

    13.5K  Pulls 6  Tags Updated  2 months ago

  • kwangsuklee/Qwen3.5-9B-Claude-4.6-Opus-Reasoning-Distilled-GGUF

    26.3.7. Qwen3.5-9B-Q4 Update: This model introduces higher-quality reasoning trajectories across domains such as science, instruction-following, and mathematics.

    24.7K  Pulls 1  Tag Updated  5 months ago

  • carstenuhlig/omnicoder-9b

    9B coding agent based on Qwen3.5-9B, fine-tuned on 425K real agentic traces from Claude Opus 4.6, GPT-5.4, and Gemini 3.1. Reads before it writes, traces bugs to the root cause, doesn't clobber your existing code.

    tools thinking

    16.1K  Pulls 3  Tags Updated  5 months ago

  • pdurugyan/qwen3.5-9b-deepseek-v4-flash-Q4_K_M-v_2

    Jackrong/Qwen3.5-9B-DeepSeek-V4-Flash - is an efficient reasoning model distilled using high-quality data from DeepSeek-V4. + vision. ollama v.0.30.0-rc20 +

    vision tools thinking

    5,808  Pulls 1  Tag Updated  3 months ago

  • zfujicute/OmniCoder-Qwen3.5-9B-Claude-4.6-Opus-Uncensored-v2-GGUF

    7,527  Pulls 1  Tag Updated  5 months ago

  • kwangsuklee/Qwen3.5-9B.Q4_K_M-Claude-4.6-Opus-Reasoning-Distilled-v2

    26.3.18. Ver.2 update: This iteration is powered by 14,000+ premium Claude 4.6 Opus-style general reasoning samples, with a major focus on achieving massive gains in reasoning efficiency while actively improving peak accuracy.

    7,724  Pulls 1  Tag Updated  5 months ago

  • carstenuhlig/omnicoder-2-9b

    2nd gen OmniCoder, fine-tuned from Qwen3.5-9B. Trains on assistant tokens only (unlike v1): no more repetition loops, stable tool-calling in long agentic sessions. Original: https://hf.co/Tesslate/OmniCoder-2-9B

    tools thinking

    5,140  Pulls 2  Tags Updated  5 months ago

  • ZimaBlueAI/Qwen3.5-9B-DeepSeek-V4-Flash-GGUF

    pull from hf.co/Jackrong/Qwen3.5-9B-DeepSeek-V4-Flash-GGUF

    tools thinking

    3,575  Pulls 1  Tag Updated  3 months ago

  • pdurugyan/qwen3.5-9b-deepseek-v4-flash-Q4_K_M

    Jackrong/Qwen3.5-9B-DeepSeek-V4-Flash - is an efficient reasoning model distilled using high-quality data from DeepSeek-V4.

    tools thinking

    2,387  Pulls 1  Tag Updated  3 months ago

  • SetneufPT/Qwen3.5-9B-Coder_Q4_256k_ABL_16GB-GPU

    Custom model for coding with agents to use locally with 16gb GPUs (working very fine...)

    vision tools thinking

    1,264  Pulls 1  Tag Updated  1 month ago

  • NitrAI/OpenGCM-v2

    Open-source distilled model based on Qwen3.5-9B.

    26  Pulls 1  Tag Updated  3 weeks ago

  • richardyoung/qwable-9b-abliterated

    Abliterated build of Qwable-9B-Claude-Fable, a Claude-style creative and reasoning model (Qwen3.5-9B base) with refusals reduced via the Heretic library.

    1,181  Pulls 6  Tags Updated  2 months ago

  • trinhnv1205/Qwen3.5-9B-Uncensored-ctx64k

    vision

    1,230  Pulls 1  Tag Updated  2 months ago

  • oamazonasgabriel/qwen3.5-9b

    A coding-optimized configuration of Qwen3.5-9B designed for 16 GB single-GPU hardware. The model uses the official Q4_K_M quantization (~6.6 GB weights), leaving ~9 GB headroom for KV cache — enabling 32K+ context windows comfortably.

    vision tools thinking

    947  Pulls 1  Tag Updated  2 months ago

  • luisppb16/Qwen3.5-9B-Red_Team

    Qwen3.5-9B-Red_Team is a fine-tuned version of Qwen3.5-9B, specifically optimized for offensive cybersecurity operations, adversary simulation, and Red Teaming tactics.

    865  Pulls 8  Tags Updated  2 months ago

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