Ollama: GPU Offloading and Tool Call Fixes
Today's activity centers on fixing GPU compatibility issues that were blocking hardware acceleration on integrated GPUs, plus resolving tool call parsing problems that affected AI agent functionality.
Duration: PT1M52S
Episode overview
This episode is a short developer briefing from Ollama.
It explains recent repository work in plain language.
- Show: Ollama
- Published: 2026-06-13T13:01:39Z
- Audio duration: PT1M52S
Transcript excerpt
This excerpt keeps the crawler page concise. Listen to the episode or use the RSS feed for the full update.
Good morning, it's June 13th, 2026. Today we're seeing a focused effort to restore GPU acceleration for users whose hardware was inadvertently excluded by recent filtering changes.
The main story is GPU offloading fixes for integrated graphics. Two related pull requests from wu-zuan address a problem where MMProj offloading was incorrectly disabled for CUDA-capable integrated GPUs. This affected systems like DGX Spark that have integrated GPUs but should still benefit from GPU acceleration.…
The second theme involves AI agent functionality. Pull request 16693 fixes a parsing bug in the Qwen3 coder model where missing opening tool call tags caused the entire tool call to leak into message content as plain text. This meant agent clients like Claude Code never executed the tools, making it appear to users…
There's also a smaller fix for interactive mode where the "set think false" command was failing due to string-to-boolean conversion issues in the JSON marshaling process.
What this means for developers: if you've been experiencing performance drops with integrated GPUs or tool execution problems with Qwen3 coder, these fixes should restore expected behavior. The GPU changes are…
That's…
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