Nemotron 3 Labs Ultra Math SFT — Hardware Requirements & GPU Compatibility
ChatMath
Nemotron 3 Labs Ultra Math SFT is a 560.5B-parameter open language model from NVIDIA in the Nemotron family. It supports a context window of up to 262,144 tokens. At Q4_K_M it needs about 336.84 GB of VRAM — see which GPUs and Macs can run it below.
2.1K downloads
7 likesSpecifications
- Publisher
- NVIDIA
- Family
- Nemotron
- Parameters
- 560.5B
- Architecture
- NemotronHForCausalLM
- Context Length
- 262,144 tokens
- Vocabulary Size
- 131,072
- Release Date
- 2026-09-02
- License
- Other
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HuggingFace
How Much VRAM Does Nemotron 3 Labs Ultra Math SFT Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_Kest. | 3.40 | 238.8 GB | 267.5 GB | 238.22 GB | 2-bit quantization with K-quant improvements |
| Q3_K_Mest. | 3.90 | 273.8 GB | 302.6 GB | 273.26 GB | 3-bit medium quantization |
| Q4_K_Mest. | 4.80 | 336.8 GB | 365.6 GB | 336.31 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_Mest. | 5.70 | 399.9 GB | 428.7 GB | 399.37 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_Kest. | 6.60 | 463.0 GB | 491.7 GB | 462.43 GB | 6-bit quantization, very good quality |
| Q8_0est. | 8.00 | 561.0 GB | 589.8 GB | 560.52 GB | 8-bit quantization, near-lossless |
| BF16est. | 16.00 | 1121.6 GB | 1150.3 GB | 1121.05 GB | Brain floating point 16 — preferred for training |
est.= calculated VRAM estimate; no published GGUF file found for that quantization yet. Other rows are verified against real community uploads.
Which GPUs Can Run Nemotron 3 Labs Ultra Math SFT?
Q4_K_M · 336.8 GBNemotron 3 Labs Ultra Math SFT (Q4_K_M) requires 336.8 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 438+ GB is recommended. Using the full 262K context window can add up to 28.8 GB, bringing total usage to 365.6 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run Nemotron 3 Labs Ultra Math SFT?
Q4_K_M · 336.8 GB3 devices with unified memory can run Nemotron 3 Labs Ultra Math SFT, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Studio (M3 Ultra, 512GB).
Runs great
— Plenty of headroom
Decent
— Enough memory, may be tightRelated Models
Frequently Asked Questions
- How much VRAM does Nemotron 3 Labs Ultra Math SFT need?
Nemotron 3 Labs Ultra Math SFT requires 336.8 GB of VRAM at Q4_K_M, or 1121.6 GB at BF16. Full 262K context adds up to 28.8 GB (365.6 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 560.5B × 4.8 bits ÷ 8 = 336.3 GB
KV Cache + Overhead ≈ 0.5 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 29.3 GB (at full 262K context)
VRAM usage by quantization
Q4_K_M336.8 GBQ4_K_M + full context365.6 GB- Can NVIDIA GeForce RTX 5090 run Nemotron 3 Labs Ultra Math SFT?
No — Nemotron 3 Labs Ultra Math SFT requires at least 238.8 GB at Q2_K, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- What's the best quantization for Nemotron 3 Labs Ultra Math SFT?
For Nemotron 3 Labs Ultra Math SFT, Q4_K_M (336.8 GB) offers the best balance of quality and VRAM usage. Q5_K_M (399.9 GB) provides better quality if you have the VRAM. The smallest option is Q2_K at 238.8 GB.
VRAM requirement by quantization
Q2_K238.8 GBQ4_K_M ★336.8 GBQ5_K_M399.9 GBQ6_K463.0 GBQ8_0561.0 GBBF161121.6 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run Nemotron 3 Labs Ultra Math SFT on a Mac?
Nemotron 3 Labs Ultra Math SFT requires at least 238.8 GB at Q2_K, which exceeds the unified memory of most consumer Macs. You would need a Mac Studio or Mac Pro with a high-memory configuration.
- Can I run Nemotron 3 Labs Ultra Math SFT locally?
Yes — Nemotron 3 Labs Ultra Math SFT can run locally on consumer hardware. At Q4_K_M quantization it needs 336.8 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- What's the download size of Nemotron 3 Labs Ultra Math SFT?
At Q4_K_M, the download is about 336.31 GB. The full-precision BF16 version is 1121.05 GB. The smallest option (Q2_K) is 238.22 GB.
- Which GPUs can run Nemotron 3 Labs Ultra Math SFT?
No single consumer GPU has enough VRAM to run Nemotron 3 Labs Ultra Math SFT at Q4_K_M (336.8 GB). Multi-GPU or professional hardware is required.
- Which devices can run Nemotron 3 Labs Ultra Math SFT?
3 devices with unified memory can run Nemotron 3 Labs Ultra Math SFT at Q4_K_M (336.8 GB), including Mac Studio (M3 Ultra, 512GB), NVIDIA DGX A100 640GB, NVIDIA DGX H100. Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.