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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Repository: localaiLicense: apache-2.0

Qwen3.8-27B in cdiamond's iMatrix-calibrated mixed-precision NVFP4 build. Selected attention and feed-forward tensors retain higher precision. Includes the F16 vision projector and enables the embedded MTP draft head with one draft token per step.
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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: 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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Repository: localaiLicense: swift-open-license-1.0
Swift-Qwen3.8-27B is UkisAI's reasoning-efficient fine-tune of Qwen3.8-27B. The publisher reports 58.3% fewer thinking tokens with less than 1% quality loss. This Q4_K_M GGUF includes the F16 vision projector and enables MTP speculative decoding. The weights use the Swift Open License v1.0.
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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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Repository: localaiLicense: apache-2.0

Qwopus3.8-27B-Flash is a Qwen3.8-27B fine-tune 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. The publisher reports a known Python code indentation issue.
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A 27B Qwen3.8 fine-tune for coding, debugging, and agentic reasoning. This Q4_K_M GGUF build uses llama.cpp, the embedded chat template, and the F16 vision projector.
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A 27B Qwen3.8 fine-tune for coding, debugging, and agentic reasoning. This Q8_0 GGUF build uses llama.cpp, the embedded chat template, and the F16 vision projector.
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Repository: localaiLicense: polyform-small-business-1.0.0
ThinkingCap is a 27B Qwen3.8 fine-tune trained to reduce reasoning tokens, with text and image input. This Q4_K_M GGUF build uses llama.cpp, the embedded chat template, and the F16 vision projector. Licensed under PolyForm Small Business 1.0.0 with the publisher's personal-use grant; see the model license for permitted use.
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Repository: localaiLicense: polyform-small-business-1.0.0
ThinkingCap is a 27B Qwen3.8 fine-tune trained to reduce reasoning tokens, with text and image input. This Q8_0 GGUF build uses llama.cpp, the embedded chat template, and the F16 vision projector. Licensed under PolyForm Small Business 1.0.0 with the publisher's personal-use grant; see the model license for permitted use.
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