OxCoder-9B-GGUF

OxCoder-9B is developed by OrionLLM, a lightweight 9-billion-parameter coding model built on Qwen3.5-9B for long-horizon agentic coding, terminal automation, and agentic reasoning, distilled from frontier agentic trajectories generated by Fable-5.1 and GLM-5.3 across Claude Code, OpenCode, and Codex environments. It ships with a full 262,144-token native context window for handling complex multi-file codebases, learns error-recovery behaviors like read-before-write patterns and LSP-diagnostic-driven minimal edit diffs rather than full rewrites, and exhibits notably strong front-end reasoning for a sub-10B model, with deep understanding of UI logic and component architecture. Despite its compact size, OxCoder-9B punches well above its weight class, outperforming Ornith-1.5-9B, Ornith-1.0-9B, Qwen3.5-9B, and even the larger Gemma-4-31B across nearly every reported benchmark — including 50.8 on Terminal-Bench 2.1 (Claude Code), 73.5 on SWE-bench Verified, 49.1 on SWE-bench Pro, 86.9 on GPQA Diamond, and 67.8 on ClawEval — reflecting particular strength in agentic terminal coding and real-world software engineering tasks relative to its parameter count. The model is released under the Apache 2.0 License.

Model Files

llama.cpp

LLM inference in C/C++ — https://github.com/ggml-org/llama.cpp