Tells you which local models work reliably with an AI agentAn AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.Full definition → for your RAM size, and how format and quantizationShrinking a model by storing its numbers less precisely — like rounding — so it runs faster and fits on smaller hardware, at a small quality cost.Full definition → choices trade quality for memory. Saves trial and error before going offline.
Key takeaways · AI-distilled
AMD found models smaller than Qwen3 Coder 30B consistently fail with Cline; in Cline's own testing that included gpt-oss-20b, seed-oss-36b and deepseek-r1-0528-qwen3-8b, which produced broken output or failed to execute commands properly.
Suggested tiers: 32GB runs Qwen3 Coder 30B at 4-bit (17GB download) with compact prompts and 32K context windowThe maximum amount of text a model can consider at once — its working memory for the current conversation or task.Full definition →; 64GB runs the 8-bit build (32GB) with full Cline features; 128GB+ runs GLM-4.5-Air at 4-bit (60GB).
Qwen3 Coder 30B fits the 32GB tier partly because only 3.3B of its 30B parameters are active during inference; GLM-4.5-Air, AMD's top pick, has 106B parameters with 12B active.
The post argues the gap between 4-bit local and full-precision cloud is often smaller than the gap between architectures, so a 4-bit Qwen3 Coder outperforms many full-precision smaller models.
AMD setup specifics: Ryzen AI machines with integrated graphics need Variable Graphics Memory set in AMD Software: Adrenalin Edition, Radeon cards need Adrenalin 25.8.1+ for llama.cpp support, and Flash attentionThe mechanism that lets a model weigh which earlier words matter for the word it's currently processing — the core operation of a transformer.Full definition → is advised.
Terms in this piece · Glossary
quantization — Shrinking a model by storing its numbers less precisely — like rounding — so it runs faster and fits on smaller hardware, at a small quality cost.
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
attention — The mechanism that lets a model weigh which earlier words matter for the word it's currently processing — the core operation of a transformer.
