Inkling: Our Open-Weights Model(thinkingmachines.ai)
1045 points by vimarsh6739 18 hours ago | 260 comments
tl;dr: Inkling is a new open-weights Mixture-of-Experts model (975B total / 41B active parameters, 1M-token context) trained from scratch on 45T multimodal tokens, with weights available on Hugging Face and fine-tuning support via Tinker. It features controllable thinking effort, native text/image/audio reasoning, and competitive—though not frontier-leading—performance across coding, agentic, and multimodal benchmarks, positioning itself as a broad base for customization rather than a benchmark leader. A smaller 276B/12B-active variant, Inkling-Small, is previewed alongside it.
HN Discussion:
  • Excitement about multimodal/audio capabilities and long context in an open-weights model
  • America needs strong open-weights labs to compete with Chinese models
  • Model performs better in private testing than benchmarks suggest
  • Fine-tunable open base model on Tinker is a compelling enterprise business model
  • ~Model shows uneven strengths—good at instruction following but weaker at coding