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qwen3.8-27b · Ollama
Search for models on Ollama.
  • fervent_mcclintock/qwen3.8-27b

    qwen3.8-27b:iq3 with a 260k context with a kv quant of q4_0 makes a pretty alright 16gb gpu coder in my 9070. It has managed fairly large projects with opencode and a custom goal loop plugin. Outputting faster than most affordable cloud models.

    tools thinking

    17  Pulls 2  Tags Updated  yesterday

  • orcarouter/Qwen3.8-27B-Uncensored

    Qwen3.8-27B tensor-level abliterated, vision tower and MTP head untouched. 0% over-refusal on XSTest, 0-6% refusal across the A/B suite, no measurable capability loss. Full mmproj vision, tool calling and thinking, 262K context.

    vision tools thinking

    150.7K  Pulls 20  Tags Updated  2 weeks ago

  • VladimirGav/qwen3.8-27B-14GB-IQ4

    Qwen 3.8 27B (IQ4_XS) - Optimized for 16GB VRAM

    41.7K  Pulls 1  Tag Updated  2 weeks ago

  • batiai/qwen3.8-27b

    tools thinking

    31.1K  Pulls 6  Tags Updated  2 weeks ago

  • smtek/Qwen3.8-27B

    Quants from Q2 up to Q5 from Unsloth K_M and UD_K_XL and builds for 12, 16 and 24 GB

    vision

    16K  Pulls 22  Tags Updated  3 weeks ago

  • srchmnmichael/Qwen3.8-Uncensored

    Qwen3.8-27B tensor-level abliterated, vision tower and MTP head untouched. 0% over-refusal on XSTest, 0-6% refusal across the A/B suite, no measurable capability loss. Full mmproj vision, tool calling and thinking, 262K context.

    vision tools thinking

    6,017  Pulls 4  Tags Updated  2 weeks ago

  • tinyrick/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF

    HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF

    vision

    6,136  Pulls 3  Tags Updated  1 week ago

  • jikepjikep_16HEX/qwen3.8-27b-nightshift-heretic-uncensored-q4

    😈 Uncensored Qwen3.8-27B Vision (27.3B • Q4_K_M) for Ollama. 👁️ Multimodal Vision AI with CLIP-ViT, Thinking, MTP, Tool Calling, Rust 1.98.0 Image Analysis, GGUF & local AI development. Medic🚀 #16HEX Matrix / Nightshift Heretic.

    vision

    2,545  Pulls 1  Tag Updated  2 weeks ago

  • tinyrick/Qwen3.8-27B-Ultra-Uncensored-Heretic-Native-MTP-Preserved-GGUF

    llmfan46/Qwen3.8-27B-Ultra-Uncensored-Heretic-Native-MTP-Preserved-GGUF

    vision

    1,010  Pulls 1  Tag Updated  1 week ago

  • ttempvnn/0bserverx-Qwen3.8-27B-Heretic-Abliterated-Uncensored-Q4-K-M

    vision

    1,407  Pulls 1  Tag Updated  2 weeks ago

  • aiconjured/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF-Q8-NVFP4

    Text + Vision Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF-Q8-NVFP4

    vision

    892  Pulls 1  Tag Updated  2 weeks ago

  • Julioa/Qwen3.8-27B-UD-Q3_K_XL

    890  Pulls 1  Tag Updated  2 weeks ago

  • mannix/omnimerge-v6

    v4's merge rebased on Qwen/Qwen3.8-27B (+ 3 Qwen3.6 fine-tunes) — +6.5pp LiveCodeBench, MTP + vision

    vision tools thinking

    493  Pulls 39  Tags Updated  2 days ago

  • oamazonasgabriel/qwen3.8-27b

    Qwen3.8-27B in Q4_K_M quantization (32GB+ VRAM required). Dense 27.8B parameters with hybrid attention for long context (256K tokens). Apache 2.0 license. Ideal for high-VRAM setups (RTX 5090/4090 dual, M4 Ultra, etc.).

    937  Pulls 4  Tags Updated  1 week ago

  • MobiusDevelopment/Qwen3.8-27B-MTP-Q4_K_M_GGUF-Uncensored

    Qwen3.8 delivers substantial gains across coding, professional work, research, and long-horizon agentic tasks.

    vision

    524  Pulls 1  Tag Updated  1 week ago

  • metalspork/qwen3.8-ud

    Unsloth Dynamic Quants for qwen3.8 27b

    674  Pulls 10  Tags Updated  4 weeks ago

  • zhamm/Qwen3.8

    High-quality Q8_0 quantization of Qwen3.8-27B packaged for Ollama with full vision support and MTP for speed.

    vision

    648  Pulls 1  Tag Updated  3 weeks ago

  • jacokon/qwen3.8-27b-heretic-ara

    vision tools thinking

    486  Pulls 3  Tags Updated  2 weeks ago

  • ttempvnn/0bserverx-Qwen3.8-27B-Heretic-Abliterated-Uncensored-multilingual-Q4-K-M

    312  Pulls 1  Tag Updated  2 weeks ago

  • jetelain/Qwen3.8-27B

    Qwen3.8-27B UD-Q4_K_XL MTP from Unsloth

    vision tools thinking

    357  Pulls 4  Tags Updated  6 days ago

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