LocalClaw/LLM/Llama-3.3-Nemotron-Super (49B)
Open-weight local LLM

Llama-3.3-Nemotron-Super (49B)

NVIDIA's super-efficient 49B distilled from DeepSeek-R1 + Llama. Outperforms Llama-3.3-70B at half the compute. Strong reasoning, coding & instruction following. Runs on Mac Studio 64GB. NVIDIA Open Model License.

64 GB workstation 40 GB RAM Q4_K_M Coding assistant
Run with LocalClaw Compare all models
Parameters
49B
Minimum RAM
40 GB
Model size
30 GB
Quantization
Q4_K_M

Can Llama-3.3-Nemotron-Super (49B) run locally?

Llama-3.3-Nemotron-Super (49B) is best for 64 GB workstations and larger Apple Silicon or NVIDIA setups.

Search for llama-3.3-nemotron-super-49b-v1 in LM Studio or another GGUF-compatible runtime.

nvidia/Llama-3.3-Nemotron-Super-49B-v1-GGUF
chatreasoningcodepowerquality

Install path

01
Check RAM fitMinimum 40 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch llama-3.3-nemotron-super-49b-v1 in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Strengths

  • NVIDIA's super-efficient 49B distilled from DeepSeek-R1 + Llama. Outperforms Llama-3.3-70B at half the compute. Strong reasoning, coding & instruction following. Runs on Mac Studio 64GB. NVIDIA Open Model License.

Limitations

  • Performance depends on quantization, RAM bandwidth and runtime support.

Best use cases

  • chat
  • reasoning
  • code
  • power
  • quality

Capability profile

speed
4
quality
9
coding
9
reasoning
9

Technical notes

Developer
nemotron
License
See model repository
Context window
Unknown tokens
Architecture
See model card

This model fits these next steps

Hardware fit is based on LocalClaw's RAM tier, model size and quantization metadata. Always leave memory headroom for your OS and runtime.

Workstation fitMac Studio M4 Max 64GBCUDA workstation classNVIDIA GB10 / DGX SparkLarge local models64GB RAM guide

Where to go next