Ornith-1.5 9B might not be bad at all
Summary
The author benchmarks several AI models, including Ornith-1.5 9B, on tasks for generating medical physics scripts, finding that Ornith performs best with 5 out of 6 tasks solved.
Similar Articles
ornith-ai/Ornith-1.5-9B
Ornith-1.5-9B is a 9B dense AI model that advances foundation model building through end-to-end self-improvement, optimizing task generation, scaffold construction, and solution rollouts via reinforcement learning. It demonstrates competitive performance on various benchmarks compared to other models like Qwen and Gemma.
ornith-ai/Ornith-1.5-35B-A3B
Ornith-1.5-35B-A3B is a mixture-of-experts AI model that activates only 3B parameters per token and outperforms similar-sized models like Qwen and Gemma in coding and agentic benchmarks.
Ornith 1.5: 9B dense and 35B/397B MoEs
Ornith-1.5 is a family of open-source large language models with 9B, 35B, and 397B parameters, achieving state-of-the-art performance in reasoning, agentic, and coding tasks through self-improvement strategies.
ornith-ai/Ornith-1.5-9B-GGUF
Ornith-1.5 is a new AI model that introduces end-to-end self-improvement through reinforcement learning, optimized for efficient deployment on single GPUs and edge devices.
Ornith-1.5 open models launch in 397B, 35B, and 9 B sizes (2 minute read)
Ornith-1.5 has launched a family of open AI models in 397B, 35B, and 9B sizes, featuring a self-improvement loop and achieving competitive benchmarks against top models like Claude Opus 4.8.