Local AI Advisor

Can Desktop PC · Ryzen 9 9950X (no GPU) · 64 GB DDR5 run Muse Glimmer (30B)?

64 GB RAM, no GPU · Muse Glimmer (30B) has 29.6B parameters.

Short answer

It loads, but it's borderline even for chat.

Best quantization for chat: Q4_K_M (16 GB of weights) on llama.cpp (llama-server). Generation: 2.2–3.6 tok/s, leaving about 35 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 WebUIBorderlineQ4_K_M2.2–3.6 tok/s≈10 s8KDetails
Coding questionswith ContinueBorderlineQ4_K_M2.2–3.6 tok/s≈80 s16KDetails
Coding in a repositorywith AiderTechnically RunsQ4_K_M2.2–3.6 tok/s≈4 min32KDetails
Agentic codingwith OpenCodeTechnically RunsQ4_K_M2.1–3.6 tok/s≈6 min32KDetails
Long documents (64K)with Open WebUITechnically RunsQ4_K_M2.1–3.5 tok/s≈17 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.