Can MacBook Pro M1 Pro 16 GB run Gemma 4 12B?
16 GB unified · 200 GB/s memory bandwidth · Gemma 4 12B has 12B parameters.
Short answer
Yes, excellent for chat; not recommended for coding in a repository.
Best quantization for chat: 3-bit (4.9 GB of weights) on LM Studio. Generation: 25–30 tok/s, leaving about 2.1 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 | 3-bit | 25–30 tok/s | ≈6 s | 8K | Details |
| Coding questionswith Continue | Borderline | 3-bit | 25–30 tok/s | ≈35 s | 16K | Details |
| Coding in a repositorywith Aider | Technically Runs | 3-bit | 20–30 tok/s | ≈2 min | 32K | Details |
| Agentic codingwith OpenCode | Technically Runs | 3-bit | 20–30 tok/s | ≈3 min | 32K | Details |
| Long documents (64K)with Open WebUI | Borderline | 4-bit | 16–20 tok/s | ≈6 min | 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 3-bit build with a 8K context. Ollama and llama.cpp download the file straight from Hugging Face.
ollama run hf.co/unsloth/gemma-4-12B-it-GGUF:Q3_K_M
Downloads 5.69 GB (Q3_K_M). Ollama's default context is small: set OLLAMA_CONTEXT_LENGTH=8192 before `ollama serve` for long prompts.
Other models for MacBook Pro M1 Pro 16 GB
The best-rated models for chat on this machine.
- MiniCPM5 2B45–60 tok/sExcellent
- Qwen3.5 4B30–40 tok/sExcellent
- Qwen3.5 9B20–30 tok/sExcellent
- GLM-4.6V-Flash (10B)20–30 tok/sExcellent
- Llama 3.2 3B Instruct40–55 tok/sExcellent
- Qwen3 8B25–35 tok/sExcellent
Cheapest machines for Gemma 4 12B
Hardware rated comfortable or better for chat, lowest price first.
- Mac mini M4 24 GB$999 · 11–15 tok/sComfortable
- Desktop PC · Intel Arc B580 · 32 GB RAM$1,150 · 25–35 tok/sExcellent
- Desktop PC · GeForce RTX 3060 12GB · 32 GB RAM$1,200 · 25–40 tok/sExcellent
- Mac mini M6 24 GB$1,299 · 10–17 tok/sComfortable
- Desktop PC · GeForce RTX 5060 Ti 16GB · 32 GB RAM$1,330 · 30–40 tok/sExcellent
- Desktop PC · GeForce RTX 4060 Ti 16GB · 32 GB RAM$1,350 · 16–25 tok/sExcellent
Same chip, other memory: 32 GB
Different tool, context size or workload?
These pages use typical settings. The full check models your exact setup.