# Disappointing first test with Foundry Local on Intel GPU

After waiting nearly a year for decent local LLM support on Intel GPU (especially after IPEX-LLM stalled in April 2025), I was excited to see Foundry Local reach General Availability recently.
I hoped it could finally become a solid Ollama replacement for my Intel GPU setup.

Reality check after testing today with Aider:

DeepSeek-R1-Distill-Qwen-14B-openvino-gpu:2 was hard-capped at 199 tokens (config.json max_tokens: 16k completely ignored). Not usable.

qwen2.5-coder-14b-instruct-openvino-gpu:2 also capped at 199 tokens, code snippets and responses get cut off before finishing.
For agentic coding workflows like Aider, this token limitation is a major blocker.

Has anyone managed to get reasonable context lengths with OpenVINO models in Foundry Local? Any tips or workarounds?

![Aider diff output showing a 199-token cap](https://images.koorevaar.com/linkedin-import/foundry-local-intel-gpu-token-cap.jpg)

---

*Co-authored with Claude.*

If this was useful, [you can buy me a coffee](https://ko-fi.com/p47k0).

New articles: [follow via RSS](https://blog.koorevaar.com/feed.xml).