There has been a massive wave of open-source AI releases recently, and if you are building local agentic workflows, you need to check these out.

We need to talk about two major drops, specifically focusing on what you can actually run right now on your own machines.

1. The Local Powerhouse: GRM-2.5

If you want something incredibly fast that you can spin up locally via Ollama or LM Studio, GRM-2.5 by OrionLLM is the model to grab.

• The Parameters: It is a highly optimized 4-billion (4B) parameter reasoning model.
• Why it rocks: Despite its compact size, it is explicitly trained for structured reasoning, code generation, and agent-style workflows.
• Performance: It runs efficiently on standard consumer hardware. If you are spinning up test environments on Pop!_OS or setting up local worker agents that don’t need a massive 70B model, this is perfect.
• Download: You can grab the weights directly from Hugging Face here: OrionLLM/GRM-2.5 on Hugging Face.

2. The Enterprise Giant: GLM-5.2

I also have to mention GLM-5.2 from Z.ai (formerly Zhipu AI). This was just released under a permissive MIT license and is currently ranking as one of the most capable open models in the world, beating models like Gemini 3.5 Flash on certain benchmarks.

• The Parameters: It is a massive Mixture-of-Experts (MoE) model with 744 billion total parameters (40 billion active during generation).
• The Catch: Unless you have a server farm in your basement, you aren’t running this locally. But it does offer a 1-million token context window, which is insane for analyzing massive codebases.

The Takeaway: The days of relying solely on expensive, closed APIs are ending. You can build your core multi-agent architecture using small, fast local models like GRM-2.5, and only call out to larger APIs when you absolutely need heavy-lifting reasoning.