The latest Olmo model and discussions at the frontier of open-source post training tools.
Olmo 3: Charting a path through the model flow to lead open-source AI | Ai2
Our new flagship Olmo 3 model family empowers the open source community with not only state-of-the-art open models, but the entire model flow and full traceability back to training data.
OpenAI Codex with Ollama· Ollama Blog
Open models can be used with OpenAI's Codex CLI through Ollama. Codex can read, modify, and execute code in your working directory using models such as gpt-oss:20b, gpt-oss:120b, or other open-weight alternatives.
Ollama's new engine for multimodal models· Ollama Blog
Ollama now supports new multimodal models with its new engine.
Release v0.11.0 · ollama/ollama
Welcome OpenAI's gpt-oss models Ollama partners with OpenAI to bring its latest state-of-the-art open weight models to Ollama. The two models, 20B and 120B, bring a whole new local chat experie...
OpenThoughts: Data Recipes for Reasoning Models — Ryan Marten, Bespoke Labs
Ollama
Ollama is the easiest way to automate your work using open models, while keeping your data safe.
gpt-oss:120b
OpenAI’s open-weight models designed for powerful reasoning, agentic tasks, and versatile developer use cases.
OpenAI's open source LLM is a reasoning model, coming Next Thursday!
1.1K votes, 257 comments. 756K subscribers in the LocalLLaMA community. Subreddit to discuss locally hostable AI.
Build Bigger With Small Ai: Running Small Models Locally
Open models by OpenAI
Advanced open-weight reasoning models to customize for any use case and run anywhere.
gpt-oss:20b
OpenAI’s open-weight models designed for powerful reasoning, agentic tasks, and versatile developer use cases.
Introducing gpt-oss
We’re releasing gpt-oss-120b and gpt-oss-20b—two state-of-the-art open-weight language models that deliver strong real-world performance at low cost. Available under the flexible Apache 2.0 license, these models outperform similarly sized open models on reasoning tasks, demonstrate strong tool use capabilities, and are optimized for efficient deployment on consumer hardware.
OpenAI Developers on Twitter / X
Today we’re announcing Open Responses: an open-source spec for building multi-provider, interoperable LLM interfaces built on top of the original OpenAI Responses API.✅ Multi-provider by default✅ Useful for real-world workflows✅ Extensible without fragmentationBuild… pic.twitter.com/SJiBFx1BOF— OpenAI Developers (@OpenAIDevs) January 15, 2026
Most LLM environmental reporting covers only the final pretraining runs. For Olmo 3, we measured every stage across all four variants: 7B and 32B, instruct and reasoning, and found that 82% of the compute went to development, all before the final runs 😱
Ai2
Our research estimates that in today’s model training efforts, 82% of compute goes into exploratory work. At closed labs, the output of that work stays within those labs. In an open system, models, datasets, & methods are shared, and the value compounds across the field.
