APEX MTP Vision MIT Ornith 1.0 35B MTP APEX English 📖 中文文档 Self improving agentic coding model · APEX quantized GGUFs + BF16 + mmproj 🐦 About Ornith Ornith 1.0 35B is a self improving agentic coding model from DeepReinforce AI , post trained on top of Qwen3.5 with RL to jointly optimize scaffold generation and solution rollouts. It achieves state of the art performance among open source models of comparable size on Terminal Bench 2.1, SWE Bench Verified/Pro/Multilingual, NL2Repo, and OpenClaw. This GGUF package includes the mmproj F16.gguf vision projector for multimodal (image + text) capabilities with llama.cpp. MTP layers are sourced from Qwen3.5 35B A3B (same architecture, compatible weights). License: MIT. 🧠 Model Details Architecture Qwen3.5 MoE (Mixture of Experts) Parameters 35B total, 3B active per token Experts 256 routed experts, 8 active per token Layers 40 transformer layers + 1 MTP layer Context 262,144 tokens MTP 1 MTP layer (785 tensors) from Qwen3.5 35B A3B License MIT 📊 BenchLocal Results (APEX I Compact, 15.85 GB) Mode ToolCall 15 BugFind 15 HermesAgent 20 Max Eff. Thinking 100 93 89 93.5 75.5 No Thinking 100 92 89 93.2 85.2 RTX 5070 Ti · No thinking mode ach…
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