Can application layer improve local model output quality?
Mood
informative
Sentiment
neutral
Category
tech_discussion
Key topics
Local Model
Code Generation
RAG Capabilities
Model Quality Improvement
AI
I am building a terminal-native tool for code generation, and one of the recent updates was to package a local model (Qwen 2.5 Coder 7B, downloads on the first try) for those users who do not want their code uploaded to third-party servers.
Initial response from users to this addition was favorable - but I have my doubts: the model is fairly basic and does not compare in quality to online offerings.
So - I am planning to improve RAG capabilities for building a message with relevant source file chunks, add a planning call, add validation loop, maybe have a multi-sample with re-ranking, etc.: all those techniques that are common and when implemented properly - could improve quality of output.
So - the question: I believe (hope?) that with all those things implemented - 7B can be bumped approximately to quality of a 20B, do you agree that's possible or do you think it would be a wasted effort and that kind of improvement would not happen?
The source is here - give it a star if you like what you see: https://github.com/acrotron/aye-chat
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Nov 25, 2025 at 8:52 AM EST
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