A user explored using local LLM models on gfx1030 cards with 16GB VRAM and an 8k context limit to generate a Rust project. The Gemma4 12B QAT Q4 model was found to be a strong contender, successfully using tools without manual intervention, though it still exhibited hallucinations. Other models tested, including Claude Code, qwen2.5 coder 7b instruct, and a Groq llama 8b fine-tuned model, were less successful, with issues ranging from a lack of tool calling to unreliability in following instructions. AI
IMPACT Highlights the performance differences between various local LLMs for coding tasks, suggesting Gemma4 12B QAT Q4 as a promising option.
RANK_REASON User-generated comparison and evaluation of multiple LLM models for a specific task.
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