Sage-A1.5 is a 35B mixture-of-experts model based on Qwen3.6 for scientific reasoning, coding, and tool use. This official Q4_K_M GGUF build uses llama.cpp and includes the vision projector.
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Sage-A1.5 is a 35B mixture-of-experts model based on Qwen3.6 for scientific reasoning, coding, and tool use. This official Q8_0 GGUF build uses llama.cpp and includes the vision projector.
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Tess 4.5 is a 27B Qwen3.8 fine-tune for coding, reasoning, and tool use. This Q4_K_M GGUF build includes the F16 vision projector and uses llama.cpp with the embedded chat template. Speculative decoding is disabled.
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Tess 4.5 is a 27B Qwen3.8 fine-tune for coding, reasoning, and tool use. This Q6_K GGUF build includes the F16 vision projector and uses llama.cpp with the embedded chat template. Speculative decoding is disabled.
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Tess 4.5 is a 27B Qwen3.8 fine-tune for coding, reasoning, and tool use. This Q8_0 GGUF build includes the F16 vision projector and uses llama.cpp with the embedded chat template. Speculative decoding is disabled.
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Repository: localaiLicense: apache-2.0
Defiance combines HauhauCS's uncensored Qwen3.8-27B weights with a customized Turbo Brilliance chat template for reasoning and roleplay. This IQ4_XS GGUF build uses llama.cpp and the embedded template, with a 32,768-token context. Text input only; MTP is not enabled.
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Repository: localaiLicense: apache-2.0
Defiance combines HauhauCS's uncensored Qwen3.8-27B weights with a customized Turbo Brilliance chat template for reasoning and roleplay. This Q6_K_P GGUF build uses llama.cpp and the embedded template, with a 32,768-token context. Text input only; MTP is not enabled.
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Humanizer is a 12B Gemma 4 fine-tune for rewriting English and Chinese text. This unquantized BF16 GGUF build uses llama.cpp with an 8,192-token context. This entry uses the completions API with the publisher's exact rewriting prompt.
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Kujira's abliterated adaptation of Underdog Saluki 27B 1.0 uses mixed IQ2 weights with an embedded MTP head. This text-only llama.cpp build uses ordinary decoding; the MTP variant enables speculative decoding.
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Kujira's abliterated adaptation of Underdog Saluki 27B 1.0 uses mixed IQ2 weights with an embedded MTP head. This text-only llama.cpp build enables multi-token prediction with up to two draft tokens.
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Repository: localaiLicense: other

Huihui's second abliterated Qwen3.8-Flash-Next release adjusts the abliteration without modifying the experts. This vision-language mixture-of-experts model uses the publisher's UD-Q4_K_XL GGUF and BF16 projector for text chat and image input through llama.cpp. The default context is 32,768 tokens. Model weights use the Qwen Community License 1.0.
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Repository: localaiLicense: other

Huihui's second abliterated Qwen3.8-Flash-Next release adjusts the abliteration without modifying the experts. This vision-language mixture-of-experts model uses the publisher's UD-IQ4_XS GGUF and BF16 projector for text chat and image input through llama.cpp. The default context is 32,768 tokens. Model weights use the Qwen Community License 1.0.
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Repository: localaiLicense: apache-2.0
Underdog Saluki 27B 1.0 with its mixed IQ2 main weights preserved and a Qwen3.8-27B MTP head added. This llama.cpp build enables multi-token prediction with up to two draft tokens and includes the F16 vision projector. The weights and projector total approximately 9.28 GB.
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Simplicio-27B is a Qwen3.8-27B fine-tune for code editing and software engineering. This Q4_K_M GGUF build uses llama.cpp and includes the F16 vision projector.
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Simplicio-27B is a Qwen3.8-27B fine-tune for code editing and software engineering. This Q8_0 GGUF build uses llama.cpp and includes the F16 vision projector.
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Repository: localaiLicense: apache-2.0
Ternary Bonsai 2 27B (PrismML) is a 27B-class reasoning model with ternary transformer weights. This PTQ1_0 build packs the trits densely at 1.75 bits per weight (5.95 GB) and includes the Q8_0 vision projector. PTQ1_0 is a Prism-private GGUF type, so the entry uses the bonsai backend (PrismML's llama.cpp fork) instead of stock llama.cpp.
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Cyber-Ornith 1.5 is a 9B Qwen3.5 fine-tune for security auditing, terminal tasks, and tool use. This importance-matrix Q4_K_M GGUF build uses llama.cpp with the embedded chat template for text chat.
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Cyber-Ornith 1.5 is a 9B Qwen3.5 fine-tune for security auditing, terminal tasks, and tool use. This importance-matrix Q6_K GGUF build uses llama.cpp with the embedded chat template for text chat.
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Qwopus3.8-27B-Flash-V2 is a new post-training release for reasoning and agent workloads. This Q4_K_M GGUF includes the F32 vision projector and uses llama.cpp's embedded chat template with MTP speculative decoding.
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Qwopus3.8-27B-Flash-V2 is a new post-training release for reasoning and agent workloads. This Q8_0 GGUF includes the F32 vision projector and uses llama.cpp's embedded chat template with MTP speculative decoding.
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Repository: localaiLicense: apache-2.0

Qwopus3.8-27B-Flash is a Qwen3.8-27B fine-tune for reasoning and agent workloads. This Q4_K_M GGUF includes the F32 vision projector and uses llama.cpp's embedded chat template with MTP speculative decoding. The publisher reports a known Python code indentation issue.
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