Local AI Advisor

Can Laptop · Ryzen AI 9 HX 370 (Radeon 890M) · 32 GB run Recursive Flint (40B-A2.5B)?

32 GB unified · 120 GB/s memory bandwidth · Recursive Flint (40B-A2.5B) has 39.8B parameters (2.5B active per token).

Short answer

Yes, acceptable for chat; borderline for coding questions.

Best quantization for chat: MXFP4 (20 GB of weights) on Lemonade. Generation: 30–55 tok/s, leaving about 2.6 GB free for your other apps.

How it rates for each workload

Same model and machine, different jobs. Agents and long documents send far bigger prompts than chat, so they need much more speed and memory.

WorkloadVerdictQuantGenerationFirst replyContext
Chatwith Open WebUIAcceptableMXFP430–55 tok/s≈2 s8KDetails
Coding questionswith ContinueBorderlineMXFP430–50 tok/s≈10 s16KDetails
Coding in a repositorywith AiderBorderlineMXFP425–40 tok/s≈35 s32KDetails
Agentic codingwith OpenCodeBorderlineMXFP425–40 tok/s≈45 s32KDetails
Long documents (64K)with Open WebUIBorderlineMXFP416–25 tok/s≈2 min64KDetails

Speeds are bandwidth-based estimates; no direct benchmark exists for this pair. “First reply” is the time to read the workload’s opening prompt. How we calculate

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Different tool, context size or workload?

These pages use typical settings. The full check models your exact setup.

Open sourceCheck my exact setup