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Continue, Cline Stall on 16GB VRAM

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Continue, Cline Stall on 16GB VRAM
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// 54d agoDISCUSSION

Continue, Cline Stall on 16GB VRAM

A LocalLLaMA user wants a fully offline agentic coding setup for a 16GB 5070 Ti and says Continue/Cline with Ollama and Qwen Coder still feel constrained by context limits and weak tool use. The thread captures the gap between Copilot-style autonomy and what current local models can reliably do on modest hardware.

// ANALYSIS

The hot take: local agentic coding is finally usable, but 16GB VRAM still forces compromises that cloud copilots hide from you.

  • Continue’s docs show the right direction for offline work: agent mode, local configs, context selection, MCP, and documented Ollama support, so the editor stack itself is not the main blocker.
  • Cline’s own local-model guidance is blunt: smaller 7B-20B models often fail at tool use and multi-step coding, while its recommended local setup starts around Qwen3 Coder 30B and much more RAM.
  • The real limit here is not just raw model size; it is reliable tool calling plus enough context to survive large-file refactors without constant manual babysitting.
  • For 16GB VRAM, the practical ceiling is usually smaller local models, shorter context, and more careful file selection, which makes the experience feel less “agentic” than Copilot.
  • This is a strong signal that offline coding assistants still need better context engineering, not just better quantization.
// TAGS
continueclineollamaai-codingagentideself-hosted

DISCOVERED

54d ago

2026-04-03

PUBLISHED

54d ago

2026-04-03

RELEVANCE

7/ 10

AUTHOR

eeeeekzzz