--- license: other license_name: genysis-iq-commercial license_link: LICENSE library_name: mlx pipeline_tag: image-text-to-text tags: - anura - genysis-iq - agentic - coding - mlx - vision - tool-use --- # Anura R1 Ultra **Anura R1 Ultra** is an agentic coding model by **Genysis IQ** (version 1.0.0). - Agentic software engineering: reads and edits code, runs commands and tests, plans multi-step work - Web search and crawling for current information, with cited sources - Vision: screenshots, diagrams, UI mockups, charts and photos - Fast local inference on Apple Silicon with MLX (mixture-of-experts, ~3B active parameters per token) - 128K-token context in the default engine configuration ## Results (measured on an Apple M5, 32 GB) | | Anura R1 Ultra | |---|---| | Identity, held-out questions (Anura system prompt / served with identity preamble) | 26/26 · 26/26 | | Identity, bare weights under a generic third-party prompt | 24/26 | | Vision (shapes, OCR, code screenshot, chart, UI→HTML) | 5/5 | | Agent coding tasks, pass@1, 40 verified tasks in 6 languages | 36/40 | | Decode speed | ~48 tok/s | | Cached follow-up prefill (14.7K-token prompt) | 0.18 s | The coding tasks are the suite the training trajectories came from, so they show the fine-tune kept the foundation's skills; they are not a held-out benchmark. ## Format MLX 4-bit weights plus the Anura R1 Ultra LoRA adapter in `anura_adapter/`, applied at load time. The chat template is Anura R1 Ultra's own (`chat_template.jinja`). About 20 GB of memory is needed (32 GB Apple Silicon Mac recommended). ## Running it The intended runtime is the Anura engine and CLI from Genysis IQ (`anura serve`, `anura`), which adds the agent tools, sessions, web UI and an OpenAI-compatible API. To load the weights directly with mlx-vlm: ```python from mlx_vlm import load, generate model, processor = load("", adapter_path="/anura_adapter") ``` ## License and provenance Access to this repository is limited to licensed users of Genysis IQ. Genysis IQ built Anura R1 Ultra by fine-tuning an open-weight foundation model released under the Apache License 2.0; those foundation weights remain under that license, and `NOTICE` gives the attribution it requires. Genysis IQ's adapter and packaging are provided under Genysis IQ's commercial terms.