# open-weight models insights

Rangoon Insights reporting and guides tagged open-weight models.

Canonical: https://rangoon.ai/insights/tags/open-weight-models/

## Topics
- [Agent systems](https://rangoon.ai/insights/topics/agents/): Agent runtimes, handoffs, tools, and the boundaries that make them reviewable.
- [Governance](https://rangoon.ai/insights/topics/governance/): Policy, identity, authorization, approvals, and evidence for consequential work.
- [Infrastructure](https://rangoon.ai/insights/topics/infrastructure/): Model serving, sandboxes, tool services, and deployment boundaries.
- [Models](https://rangoon.ai/insights/topics/models/): Inference choices, local serving, compatibility, and operational tradeoffs.

## Stories
- [gpt-oss put deployment evidence beside an open-weight release](https://rangoon.ai/insights/archive-openai-gpt-oss-open-weight-release/)
  OpenAI released gpt-oss-120b and gpt-oss-20b in August 2025 with Apache 2.0 weights, architecture details and a model card with reported evaluation conditions.
- [Qwen3 made hybrid thinking a workload-control question](https://rangoon.ai/insights/archive-qwen3-hybrid-thinking-controls/)
  Qwen released Qwen3 in April 2025 with dense and mixture-of-experts models plus thinking modes. This retrospective focuses on explicit workload controls and evaluation scope.


## More information

- [Documentation index](https://rangoon.ai/llms.txt)
- [AI access and policies](https://rangoon.ai/ai/)
- [Source repository](https://github.com/hypler-dev/rangoon)