Local AI Advisor

Can Mac Pro M2 Ultra 64 GB run Kolibri-1 (78B-A3.5B)?

64 GB unified · 800 GB/s memory bandwidth · Kolibri-1 (78B-A3.5B) has 78.1B parameters (3.46B active per token).

Short answer

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

Best quantization for chat: Q4_K_M (45 GB of weights) on LM Studio. Generation: 110–150 tok/s, leaving about 8.4 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 WebUIExcellentQ4_K_M110–150 tok/sunder 1 s8KDetails
Coding questionswith ContinueComfortableQ4_K_M110–150 tok/s≈2 s16KDetails
Coding in a repositorywith AiderAcceptableQ4_K_M100–140 tok/s≈6 s32KDetails
Agentic codingwith OpenCodeAcceptableQ4_K_M95–130 tok/s≈8 s32KDetails
Long documents (64K)with Open WebUIAcceptableQ4_K_M75–100 tok/s≈25 s64KDetails

Speeds are estimates calibrated against measured benchmarks on similar hardware. “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.