Simon Willison reviews Ornith-1.0, a new series of open-weights models from DeepReinforce designed for agentic coding. Built on Gemma 4 and Qwen 3.5, these models range from 9B to 397B parameters and demonstrate high proficiency in coding benchmarks and tool-use tasks.
- Available in 9B Dense, 31B Dense, 35B MoE, and 397B MoE variants
- Capable of navigating codebases and executing complex tool calls
- Built on Apache 2.0 licensed base models
This repository provides optimized Jinja chat templates designed to fix critical rendering errors, KV cache invalidation, and agentic stalling issues found in official Qwen 3.5 and 3.6 templates. It is compatible with major inference engines including LM Studio, llama.cpp, vLLM, and MLX.