Can Mac Studio M3 Ultra 96 GB run Llama 3.2 3B Instruct?

96 GB unified · 819 GB/s memory bandwidth · Llama 3.2 3B Instruct has 3.2B parameters.

Short answer

Yes, excellent for chat; not recommended for coding in a repository.

Best quantization for chat: 6-bit (2.5 GB of weights) on LM Studio. Generation: 110–150 tok/s, leaving about 82 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.

Workload	Verdict	Quant	Generation	First reply	Context
Chatwith Open WebUI	Excellent	6-bit	110–150 tok/s	under 1 s	8K	Details
Coding questionswith Continue	Acceptable	8-bit	80–110 tok/s	≈2 s	16K	Details
Coding in a repositorywith Aider	Technically Runs	6-bit	70–100 tok/s	≈6 s	32K	Details
Agentic codingwith OpenCode	Technically Runs	6-bit	65–85 tok/s	≈8 s	32K	Details
Long documents (64K)with Open WebUI	Comfortable	8-bit	35–45 tok/s	≈30 s	64K	Details

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

Get it running

Copy-paste commands for the 8-bit build with a 64K context. Ollama and llama.cpp download the file straight from Hugging Face.

ollama run hf.co/unsloth/Llama-3.2-3B-Instruct-GGUF:Q8_0

Downloads 3.42 GB (Q8_0). Ollama's default context is small: set OLLAMA_CONTEXT_LENGTH=65536 before `ollama serve` for long prompts.

Other models for Mac Studio M3 Ultra 96 GB

The best-rated models for chat on this machine.

Everything Mac Studio M3 Ultra 96 GB can run

Cheapest machines for Llama 3.2 3B Instruct

Hardware rated comfortable or better for chat, lowest price first.

Same chip, other memory: 256 GB, 512 GB

Different tool, context size or workload?

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

Open weights (restricted)Check my exact setup