nomic-embed-text v1.5 on Apple M4 Max (64GB Unified)
Yes — M4 Max (64GB Unified) runs nomic-embed-text v1.5 excellently at FP16 — real-time capable. 64 GB VRAM with plenty of headroom.
Model Size
137M
Device VRAM
64 GB
Bandwidth
546 GB/s
Quantization
FP16
Performance by Quantization
OwnRig currently has one published compatibility entry for nomic-embed-text v1.5 on Apple M4 Max (64GB Unified) at FP16. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| FP16 | – | 12ms | ✓ Yes | Excellent | estimated |
Notes
FP16
Trivial resource usage on any Apple Silicon config.
Runs alongside Qwen Coder 32B Q5 (22GB) + Llama 8B Q4 (5GB) = 27.5GB total. 36.5GB free for system.
About nomic-embed-text v1.5
nomic-embed-text v1.5 (137M) is a embeddings, ai building model. High-quality text embedding model for RAG pipelines. 137M params, negligible VRAM. Competitive with OpenAI's ada-002 on MTEB benchmarks. Essential for builders running local RAG with Cursor or similar tools. Can run concurrently with coding models without meaningful VRAM impact.
View all nomic-embed-text v1.5 hardware options →About Apple M4 Max (64GB Unified)
Apple M4 Max (64GB Unified) has 64 GB at 546 GB/s. Available in MacBook Pro 16", Mac Studio.
See all models Apple M4 Max (64GB Unified) can run →Estimate method: Model card. Reference hardware source: huggingface.co (2026-01-15)
Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.