Local AI Advisor

Can Desktop PC · Ryzen 9 9950X (no GPU) · 64 GB DDR5 run Recursive Flint (40B-A2.5B)?

64 GB RAM, no GPU · Recursive Flint (40B-A2.5B) has 39.8B parameters (2.5B active per token).

Short answer

Yes, excellent for chat and acceptable or better for every workload we test.

Best quantization for chat: MXFP4 (20 GB of weights) on llama.cpp (llama-server). Generation: 20–35 tok/s, leaving about 32 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 WebUIExcellentMXFP420–35 tok/s≈2 s8KDetails
Coding questionswith ContinueComfortableMXFP418–30 tok/s≈15 s16KDetails
Coding in a repositorywith AiderAcceptableMXFP415–25 tok/s≈40 s32KDetails
Agentic codingwith OpenCodeAcceptableMXFP414–25 tok/s≈55 s32KDetails
Long documents (64K)with Open WebUIAcceptableMXFP410–16 tok/s≈3 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

Different tool, context size or workload?

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