Local AI Advisor

Can Desktop PC · RTX PRO 6000 Blackwell · 128 GB RAM run Kolibri-1 (78B-A3.5B)?

96 GB VRAM + 128 GB RAM · 1792 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: FP8 (73 GB of weights) on Ollama. Generation: 190–260 tok/s, leaving about 21 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 WebUIExcellentFP8190–260 tok/sunder 1 s8KDetails
Coding questionswith ContinueExcellentFP8190–260 tok/sunder 1 s16KDetails
Coding in a repositorywith AiderAcceptableFP8180–240 tok/s≈1 s32KDetails
Agentic codingwith OpenCodeAcceptableFP8170–230 tok/s≈2 s32KDetails
Long documents (64K)with Open WebUIExcellentFP8150–200 tok/s≈4 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.