nomic-embed-text v1.5 on Apple M4 Max (64GB Unified)
Apple M4 Max (64GB Unified) runs nomic-embed-text v1.5 excellently at FP16. This is a strong pairing.
Model Size
137M
Device VRAM
64 GB
Bandwidth
546 GB/s
Quantizations Tested
1
Performance by Quantization
Each row shows nomic-embed-text v1.5 performance at a different quality level on Apple M4 Max (64GB Unified).
| 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 →Source: Model card (2026-01-15)
Data last updated: 2026-03-01