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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Apodex-1.1-mini with MTP speculative decoding enabled on the recommended Q4_K_M GGUF. The model carries its native MTP head, so it needs no separate draft model. The F16 vision projector supports multimodal prompts.
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Repository: localaiLicense: mit
GLM-5.3-Flash is Z.ai's natively multimodal 320B-parameter mixture-of-experts model with 18B active parameters. It combines sparse and linear attention for coding, agentic work, tool use, vision, and long-context tasks. This entry uses the UD-Q4_K_XL GGUF quantization and enables the model's MTP speculative-decoding head.
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Repository: localaiLicense: mit
GLM-5.3-Flash is Z.ai's natively multimodal 320B-parameter mixture-of-experts model with 18B active parameters. It combines sparse and linear attention for coding, agentic work, tool use, vision, and long-context tasks. This entry uses the higher-quality Q8_0 GGUF quantization and enables the model's MTP speculative-decoding head.
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Repository: localaiLicense: apache-2.0
Dirk is a Qwen3.8 27B vision-language model with a concise chat template for agentic coding, reasoning, tool use, and general knowledge tasks. It preserves the model's MTP head for speculative decoding and supports a 262K-token context window. This default entry uses the Q4_K_XL GGUF and F16 vision projector. A choice of Q5_K_XL, Q6_K_XL, and Q8_K_XL builds is available through variants.
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Dirk in the higher-quality Q8_K_XL GGUF format, with MTP speculative decoding and the shared F16 vision projector for multimodal prompts.
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Dirk in the higher-quality Q5_K_XL GGUF format, with MTP speculative decoding and the shared F16 vision projector for multimodal prompts.
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Dirk in the higher-quality Q6_K_XL GGUF format, with MTP speculative decoding and the shared F16 vision projector for multimodal prompts.
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Repository: localaiLicense: apache-2.0
Qwen3.8-27B-Uncensored reduces refusal behavior while retaining the base model's text, vision, reasoning, and tool-use capabilities. Its integrated MTP head supports speculative decoding without a separate draft model. This default entry uses the Q4_K_M GGUF and F16 vision projector. A higher-quality Q8_0 model is available as a variant.
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Repository: localaiLicense: apache-2.0

Huihui Qwen3.8 27B is an abliterated vision-language model published by huihui-ai. This BF16 GGUF build includes the shared BF16 vision projector and enables MTP speculative decoding through llama.cpp. Q4_K and Q8_0 variants are available as smaller downloads.
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Huihui Qwen3.8 27B in Q4_K GGUF format, with the shared BF16 vision projector and MTP speculative decoding through llama.cpp.
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Huihui Qwen3.8 27B in Q8_0 GGUF format, with the shared BF16 vision projector and MTP speculative decoding through llama.cpp.
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Ornith-1.5-35B-A3B in the APEX Balanced GGUF format with native multi-token prediction enabled for speculative decoding, plus the shared BF16 vision projector.
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Ornith-1.5-35B-A3B in the APEX Compact GGUF format with native multi-token prediction enabled for speculative decoding, plus the shared BF16 vision projector.
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Tiel-Coder-35B-A3B in Q4_K_XL format with MTP speculative decoding and a BF16 vision projector.
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Tiel-Coder-35B-A3B in Q5_K_XL format with MTP speculative decoding and a BF16 vision projector.
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Tiel-Coder-35B-A3B in Q6_K_XL format with MTP speculative decoding and a BF16 vision projector.
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Tiel-Coder-35B-A3B in Q8_K_XL format with MTP speculative decoding and a BF16 vision projector.
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Repository: localaiLicense: apache-2.0

Qwen3.8-27B is Qwen's dense 27B vision-language model for reasoning, coding, tool use, and long-running agent tasks. It accepts text, images, and video, and it supports a native context window of 262K tokens. This default entry uses the official Q4_K_M GGUF and Q8_0 vision projector. The linked variants add MTP speculative decoding or use the higher-quality Q8_0 model.
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Qwen3.8-27B with the official Q4_K_M model and Q4_0 MTP draft model. MTP speculative decoding can increase generation speed by proposing multiple tokens for the target model to verify.
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