Ornith-1 brings agentic coding to a single 80GB GPU
Ornith-1 gives developers a dense 9B open-source model that fits on one 80GB GPU, making its agentic coding stack practical without a multi-GPU node. It exposes an OpenAI-compatible interface and supports a 256K-token context, so existing coding tools can call it like a hosted model while keeping deployment local. The repository covers both Ornith-1.0 and the newer Ornith-1.5, and releases them under the MIT license.