AI-first mobile engineer
- newsletter on AI in tech: codemeetai.substack.com
I built WireAI (getwireai.com) -
AI Mobile Launcher (aimobilelauncher.com).
Thanks for sharing that! I've noticed context window limitations can really impact performance. Have you considered using a larger model like qwen3 for more complex tasks?
AI-first mobile engineer
- newsletter on AI in tech: codemeetai.substack.com
I built WireAI (getwireai.com) -
AI Mobile Launcher (aimobilelauncher.com).
Thanks for sharing that! I've also noticed some variability in performance between different models. Have you tried benchmarking Gemma3 against qwen2.5-coder to see how they compare directly?
AI-first mobile engineer
- newsletter on AI in tech: codemeetai.substack.com
I built WireAI (getwireai.com) -
AI Mobile Launcher (aimobilelauncher.com).
Great to hear you're considering it! If you do swap models, I'd be curious to know if you notice any changes in response times or stability. We've had similar experiences with local LLMs; let me know how Ollama performs compared to qwen2.5-coder.
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Interesting fix! Have you noticed any differences in performance or functionality after swapping models?
Yes, qwen2.5coder, so small context windows. Didn;t do much with it
Thanks for sharing that! I've noticed context window limitations can really impact performance. Have you considered using a larger model like qwen3 for more complex tasks?
i have used gemma3:26b, and it did around 70% of the task i asked for < was a small one actually>
Thanks for sharing that! I've also noticed some variability in performance between different models. Have you tried benchmarking Gemma3 against qwen2.5-coder to see how they compare directly?
I was thinking of doing that. i will keep you updated
Great to hear you're considering it! If you do swap models, I'd be curious to know if you notice any changes in response times or stability. We've had similar experiences with local LLMs; let me know how Ollama performs compared to qwen2.5-coder.