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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Repository: localaiLicense: other

DavidAU's Turbo Brilliance build of LFM2.5-24B-A2B, a text-only reasoning model with 24B total parameters and 2.45B active parameters. This entry uses the Q8_0 MAX GGUF quantization and the embedded Turbo Brilliance chat template for multilingual chat and tool use.
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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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Spark-X2.6-4B is XHToken's 4B text model for conversation, reasoning, coding, and multilingual tasks. This build uses Q8_0 GGUF weights, the embedded Jinja chat template, and a 32K-token default context.
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Ornith 1.5 122B is a Qwen3.5 mixture-of-experts model for reasoning, coding, and tool use. This Q8_0 GGUF build includes the F16 vision projector for image input and uses an 8,192-token default context.
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Repository: localaiLicense: mit
BGE-large-en-v1.5 is a 335M English embedding model for semantic search and retrieval. This Q8_0 GGUF build produces 1024-dimensional embeddings with a 512-token context. For retrieval, prefix queries with "Represent this sentence for searching relevant passages: "; leave passages unprefixed.
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Repository: localaiLicense: mit
BGE-base-en-v1.5 is a 109M English embedding model for semantic search and retrieval. This Q8_0 GGUF build produces 768-dimensional embeddings with a 512-token context. For retrieval, prefix queries with "Represent this sentence for searching relevant passages: "; leave passages unprefixed.
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Repository: localaiLicense: mit
BGE-small-en-v1.5 is a 33M English embedding model for semantic search and retrieval. This Q8_0 GGUF build produces 384-dimensional embeddings with a 512-token context. For retrieval, prefix queries with "Represent this sentence for searching relevant passages: "; leave passages unprefixed.
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Repository: localaiLicense: apache-2.0
Diplodocus preview 4 is OsaurusAI's K2 Horizon 7B fine-tune for documents, spreadsheets, and tool-assisted tasks. This Q8_0 GGUF build uses the embedded chat template and enables reasoning by default. Applications must provide the tools; the model download does not include workspace tools.
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Repository: localaiLicense: other
AtomicChat's LFM2.5-24B-A2B derivative reduces refusal behavior in the original weights. This text-only mixture-of-experts model has 24B total parameters and supports multilingual reasoning and tool use. This entry uses the AD-Q8_0 GGUF build with the edits baked in.
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Repository: localaiLicense: apache-2.0
AdaVaR-3B is a Qwen2.5-VL-3B-Instruct fine-tune for visual reasoning through text or image-grounded coordinates. This Q8_0 GGUF build includes the F16 vision projector. Adaptive reasoning uses the publisher's system prompt and question suffix; see the model card for these prompts.
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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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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 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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MiMo-V2.6-Distill-Qwen-9B is Xiaomi MiMo's 9B Qwen3.5 fine-tune for coding, agent tasks, and visual coding. This Q8_0 GGUF build uses llama.cpp with the model's embedded chat template and includes 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 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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Repository: localaiLicense: cc-by-nc-4.0
Hemmingway-1 is Altworld's English-first 27B text model, fine-tuned from Qwen3.8-27B for everyday messages and creative writing. This Q8_0 GGUF build uses llama.cpp and the model's embedded chat template. Licensed under CC BY-NC 4.0; commercial use requires a separate agreement.
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DavidAU's Jumbo Fusion edition of Qwen3.8-27B merges community fine-tunes and includes a custom template with reasoning and instruction modes. This Q8_0 GGUF build supports text chat with a 32,768-token default context.
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Repository: localaiLicense: apache-2.0
DavidAU's Turbo Brilliance 50X edition of Qwen3.8-27B includes a custom chat template with selectable reasoning and instruction modes. This Q8_0 GGUF build includes the F16 vision projector for image input. Uses the embedded template with a 32,768-token context by default.
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Apodex-1.1-mini in the higher-quality Q8_0 GGUF format, with the shared F16 vision projector for multimodal prompts.
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