OmniCoder 9B A 9B coding agent fine tuned on 425K agentic trajectories. !! 3/12/26 Update Install For Your Coding Agents Get Started Benchmarks GGUF Downloads Overview OmniCoder 9B is a 9 billion parameter coding agent model built by Tesslate, fine tuned on top of Qwen3.5 9B's hybrid architecture (Gated Delta Networks interleaved with standard attention). It was trained on 425,000+ curated agentic coding trajectories spanning real world software engineering tasks, tool use, terminal operations, and multi step reasoning. The training data was specifically built from Claude Opus 4.6 agentic and coding reasoning traces , targeting scaffolding patterns from Claude Code, OpenCode, Codex, and Droid. The dataset includes successful trajectories from models like Claude Opus 4.6, GPT 5.4, GPT 5.3 Codex, and Gemini 3.1 Pro. The model shows strong agentic behavior: it recovers from errors (read before write), responds to LSP diagnostics, and uses proper edit diffs instead of full rewrites. These patterns were learned directly from the real world agent trajectories it was trained on. Key Features Trained on Frontier Agent Traces : Built from Claude Opus 4.6, GPT 5.3 Codex, GPT 5.4, and Gemini…
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