heretic MTP Vision MIT Ornith 1.0 9B heretic MTP English 📖 中文文档 Self improving agentic coding model · heretic ARA LoRA abliterated · MTP injected · GGUF quantizations 🐦 About Ornith Ornith 1.0 9B is a self improving agentic coding model from DeepReinforce AI , post trained on top of Qwen3.5 (9B Dense) with RL to jointly optimize scaffold generation and solution rollouts. It achieves strong performance on Terminal Bench 2.1, SWE Bench Verified, NL2Repo, and OpenClaw among open source models of comparable size. This GGUF package includes heretic ARA LoRA abliteration for uncensored use, MTP layers injected from Qwen3.5 9B, and the mmproj F16 vision projector for multimodal capabilities. License: MIT. 🧠 Model Details Architecture Qwen3.5 Dense Parameters ~9B (all parameters active) Layers 33 transformer layers + 1 MTP layer Context 262,144 tokens Attention 16 heads, 4 KV heads (GQA) MTP 1 MTP layer, injected from Qwen3.5 9B (same architecture, compatible weights) Thinking Yes ( blocks) License MIT 🔓 heretic ARA LoRA Abliteration This model is abliterated using heretic with the ARA LoRA method (Arbitrary Rank Ablation with LoRA). ARA LoRA identifies and removes refusal behavior by…
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy