Ollama: Building Bridges for Better Model Compatibility
Today we're diving into a fantastic compatibility improvement for the Qwen3next model architecture. Jeffrey Morgan merged a substantial pull request that adds support for imported GGUF models, solving a real user pain point with over 200 lines of thoughtful code changes and comprehensive test coverage.
Duration: PT3M57S
Episode overview
This episode is a short developer briefing from Ollama.
It explains recent repository work in plain language.
- Show: Ollama
- Published: 2026-03-01T11:01:49Z
- Audio duration: PT3M57S
Transcript excerpt
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Hey there, code crafters! Welcome back to another episode of the Ollama podcast. I'm your host, and wow, do I have some exciting updates to share with you today. It's March 1st, 2026, and I'm genuinely thrilled about what's been happening in our codebase lately.
You know, there's something beautiful about watching a development team respond directly to user needs, and that's exactly what we're seeing today. Our main story centers around Jeffrey Morgan, who just merged a fantastic pull request that tackles a real compatibility challenge head-on.
So here's the story: users were running into issues importing GGUF models with the Qwen3next architecture. If you're not familiar with GGUF, think of it as a popular format for storing large language models. The problem was that our Qwen3next implementation wasn't playing nicely with models that users wanted to…
But Jeffrey didn't just slap on a quick fix. This pull request is a masterclass in thoughtful engineering. We're talking about 227 lines added and only 19 removed across four files. That's not bloat, that's comprehensive problem-solving. He dove deep into the deltanet and core model files, adding robust…
What really gets me excited…
The…