Qwen2.5-Coder 7B hits context ceiling

The hot take: for MCP-heavy coding assistants, a “smart enough” 7B model usually loses to a slightly larger model with a much bigger context window and better tool-following.

• –Qwen2.5-Coder is a strong baseline, but the family scales up to 14B and 32B, and the larger variants are where cross-file, schema-heavy work gets noticeably less brittle.
• –The thread’s advice matches the broader local-LLM pattern: if the model forgets state or mangles schema context, more parameters help less than more usable context.
• –For this use case, hardware planning should center on VRAM headroom for context and quantization, not just “can I run X billion params.”
• –A hybrid stack is likely the pragmatic answer: small model for routing and short edits, larger local model for synthesis and repo-wide reasoning.