Local LLM model page

Llama-3.1-Nemotron-Nano (4B)

⭐ Mac Mini M4 16GB top pick! NVIDIA fine-tune of Llama 3.1. Hybrid /think • /no_think mode — deep reasoning on demand, instant chat otherwise. ~80–120 tok/s on Apple Silicon Metal. 128K context. Apache 2.0.

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Parameters

Minimum RAM

6 GB

Model size

2.8 GB

Quantization

Q5_K_M

Can Llama-3.1-Nemotron-Nano (4B) run locally?

Llama-3.1-Nemotron-Nano (4B) is best suited for entry-level laptops and desktops. LocalClaw recommends Q5_K_M as the default quantization, with at least 6 GB RAM.

Search term for LM Studio or compatible runtimes: llama-3.1-nemotron-nano-4b-v1

Hugging Face repository: lmstudio-community/Llama-3.1-Nemotron-Nano-4B-v1-GGUF

chatlightspeedreasoning

Strengths

⭐ Excellent for Mac Mini M4 16GB
Hybrid reasoning: activates thinking mode on hard questions only
128K context window at just 4B
Apache 2.0 — truly open-source
GGUF available via lmstudio-community
Faster than Phi-4 Mini on Apple Silicon Metal

Limitations

Thinking mode can be slow for simple queries (use /no_think tag)
Coding less strong than Phi-4 Mini
Not the best for multilingual tasks

Best use cases

Smart chat with on-demand reasoning
Complex Q&A and multi-step logic
Code explanation and debugging
Fast local assistant on Mac / Windows laptops
Agentic tasks requiring occasional deep thinking

Benchmarks

Speed: 10/10

Quality: 7/10

Coding: 6/10

Reasoning: 8/10

Technical details

Developer: NVIDIA

License: Apache 2.0

Context window: 131,072 tokens

Architecture: Transformer (decoder-only) — fine-tuned Llama 3.1 4B with hybrid reasoning

Released: 2025-03