Repository: localaiLicense: mit
Ornith-1.5-35B-A3B is an MIT-licensed Qwen3.5 mixture-of-experts model from Ornith AI for agentic coding, reasoning, repository-level software tasks, and tool use. It supports text and image input with a context window of 262K tokens. This default entry uses the APEX Balanced GGUF and BF16 vision projector. Compact APEX and MTP-enabled APEX builds are available as variants.
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Ornith-1.5-35B-A3B in the smaller APEX Compact GGUF format, with the shared BF16 vision projector for multimodal prompts.
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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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Repository: localaiLicense: mit
Ornith-1.5-35B-A3B is an MIT-licensed Qwen3.5 mixture-of-experts model from Ornith AI for agentic coding, reasoning, repository-level software tasks, and tool use. It activates about 3B parameters per token and supports text and image input with a context window of 262K tokens. This default entry uses the Q4_K_M GGUF and BF16 vision projector. Q5_K_M, Q6_K, and Q8_0 builds are available as variants.
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Ornith-1.5-35B-A3B in the higher-quality Q8_0 GGUF format, with the shared BF16 vision projector for multimodal prompts.
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Ornith-1.5-35B-A3B in the Q5_K_M GGUF format, with the shared BF16 vision projector for multimodal prompts.
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Ornith-1.5-35B-A3B in the Q6_K GGUF format, with the shared BF16 vision projector for multimodal prompts.
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Repository: localaiLicense: mit
Cyber-Tiel-Coder is a 35B mixture-of-experts coding model with 3B active parameters, based on Huihui's abliterated Ornith-1.5. This UD-Q4_K_XL build includes MTP speculative decoding, the embedded Sharp chat template, and a BF16 vision projector.
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Repository: localaiLicense: mit
Cyber-Tiel-Coder is a 35B mixture-of-experts coding model with 3B active parameters, based on Huihui's abliterated Ornith-1.5. This UD-Q8_K_XL build includes MTP speculative decoding, the embedded Sharp chat template, and a BF16 vision projector.
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Tiel-Coder-35B-A3B is a 35B-parameter mixture-of-experts model for coding, reasoning, tool use, and vision tasks. This default entry uses the Q4_K_XL GGUF and 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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Tiel-Coder-35B-A3B in the higher-quality Q8_K_XL GGUF format, with the BF16 vision projector for multimodal prompts.
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Repository: localaiLicense: apache-2.0

Empero's Qwen3.8 distillation into Qwen3.6-35B-A3B has 35B total parameters and about 3B active per token. This Q4_K_M GGUF build uses the embedded reasoning template and includes the F16 vision projector. Vision is inherited from the base and was not evaluated by the publisher.
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Repository: localaiLicense: apache-2.0

Empero's Qwen3.8 distillation into Qwen3.6-35B-A3B has 35B total parameters and about 3B active per token. This Q5_K_M GGUF build uses the embedded reasoning template and includes the F16 vision projector. Vision is inherited from the base and was not evaluated by the publisher.
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Repository: localaiLicense: apache-2.0

Empero's Qwen3.8 distillation into Qwen3.6-35B-A3B has 35B total parameters and about 3B active per token. This Q8_0 GGUF build uses the embedded reasoning template and includes the F16 vision projector. Vision is inherited from the base and was not evaluated by the publisher.
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POCKET-35B is an Apache-2.0 Qwen3.5-family mixture-of-experts model from FINAL-Bench/VIDRAFT, derived from Darwin-36B-Opus and packaged for stock llama.cpp. This entry uses the quality-oriented Q4_K_M GGUF quantization.
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POCKET-35B is an Apache-2.0 Qwen3.5-family mixture-of-experts model from FINAL-Bench/VIDRAFT, derived from Darwin-36B-Opus and packaged for stock llama.cpp. This entry uses the balanced Q3_K_M GGUF quantization.
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