NVIDIA Nemotron 3 Super 120B A12B BF16 Heretic — Hardware Requirements & GPU Compatibility
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NVIDIA Nemotron 3 Super 120B A12B BF16 Heretic is a 120.7B-parameter open language model from trohrbaugh in the Nemotron family. It supports a context window of up to 262,144 tokens. At Q4_K_M it needs about 72.89 GB of VRAM — see which GPUs and Macs can run it below.
2.3K downloads
1 likesSpecifications
- Publisher
- trohrbaugh
- Family
- Nemotron
- Parameters
- 120.7B
- Architecture
- NemotronHForCausalLM
- Context Length
- 262,144 tokens
- Vocabulary Size
- 131,072
- Release Date
- 2026-03-15
- License
- Other
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How Much VRAM Does NVIDIA Nemotron 3 Super 120B A12B BF16 Heretic Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_Kest. | 3.40 | 51.8 GB | 75.2 GB | 51.28 GB | 2-bit quantization with K-quant improvements |
| Q3_K_Mest. | 3.90 | 59.3 GB | 82.8 GB | 58.83 GB | 3-bit medium quantization |
| Q4_K_Mest. | 4.80 | 72.9 GB | 96.3 GB | 72.40 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_Mest. | 5.70 | 86.5 GB | 109.9 GB | 85.98 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_Kest. | 6.60 | 100.0 GB | 123.5 GB | 99.55 GB | 6-bit quantization, very good quality |
| Q8_0est. | 8.00 | 121.2 GB | 144.6 GB | 120.67 GB | 8-bit quantization, near-lossless |
| BF16 | 16.00 | 241.8 GB | 265.3 GB | 241.34 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 NVIDIA Nemotron 3 Super 120B A12B BF16 Heretic?
Q4_K_M · 72.9 GBNVIDIA Nemotron 3 Super 120B A12B BF16 Heretic (Q4_K_M) requires 72.9 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 95+ GB is recommended. Using the full 262K context window can add up to 23.4 GB, bringing total usage to 96.3 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run NVIDIA Nemotron 3 Super 120B A12B BF16 Heretic?
Q4_K_M · 72.9 GB18 devices with unified memory can run NVIDIA Nemotron 3 Super 120B A12B BF16 Heretic, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Asus ROG Flow Z13 (2025, Ryzen AI Max+ 395, 128 GB).
Runs great
— Plenty of headroom
Decent
— Enough memory, may be tightWhere to Download NVIDIA Nemotron 3 Super 120B A12B BF16 Heretic
Community quantizations of this model — GGUF for llama.cpp, Ollama, and LM Studio, plus AWQ/MLX variants where available.
Related Models
Frequently Asked Questions
- How much VRAM does NVIDIA Nemotron 3 Super 120B A12B BF16 Heretic need?
NVIDIA Nemotron 3 Super 120B A12B BF16 Heretic requires 72.9 GB of VRAM at Q4_K_M, or 241.8 GB at BF16. Full 262K context adds up to 23.4 GB (96.3 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 120.7B × 4.8 bits ÷ 8 = 72.4 GB
KV Cache + Overhead ≈ 0.5 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 23.9 GB (at full 262K context)
VRAM usage by quantization
Q4_K_M72.9 GBQ4_K_M + full context96.3 GB- Can NVIDIA GeForce RTX 5090 run NVIDIA Nemotron 3 Super 120B A12B BF16 Heretic?
No — NVIDIA Nemotron 3 Super 120B A12B BF16 Heretic requires at least 51.8 GB at Q2_K, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- What's the best quantization for NVIDIA Nemotron 3 Super 120B A12B BF16 Heretic?
For NVIDIA Nemotron 3 Super 120B A12B BF16 Heretic, Q4_K_M (72.9 GB) offers the best balance of quality and VRAM usage. Q5_K_M (86.5 GB) provides better quality if you have the VRAM. The smallest option is Q2_K at 51.8 GB.
VRAM requirement by quantization
Q2_K51.8 GBQ4_K_M ★72.9 GBQ5_K_M86.5 GBQ6_K100.0 GBQ8_0121.2 GBBF16241.8 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run NVIDIA Nemotron 3 Super 120B A12B BF16 Heretic on a Mac?
NVIDIA Nemotron 3 Super 120B A12B BF16 Heretic requires at least 51.8 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 NVIDIA Nemotron 3 Super 120B A12B BF16 Heretic locally?
Yes — NVIDIA Nemotron 3 Super 120B A12B BF16 Heretic can run locally on consumer hardware. At Q4_K_M quantization it needs 72.9 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is NVIDIA Nemotron 3 Super 120B A12B BF16 Heretic?
At Q4_K_M, NVIDIA Nemotron 3 Super 120B A12B BF16 Heretic can reach ~60 tok/s on AMD Instinct MI350X. Speed depends mainly on GPU memory bandwidth. Real-world results typically within ±20%.
tok/s = (bandwidth GB/s ÷ model GB) × efficiency
Example: NVIDIA B200 → 8000 ÷ 72.9 × 0.65 = ~71 tok/s
Estimated speed at Q4_K_M (72.9 GB)
~71 tok/s~71 tok/s~60 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of NVIDIA Nemotron 3 Super 120B A12B BF16 Heretic?
At Q4_K_M, the download is about 72.40 GB. The full-precision BF16 version is 241.34 GB. The smallest option (Q2_K) is 51.28 GB.
- Which GPUs can run NVIDIA Nemotron 3 Super 120B A12B BF16 Heretic?
No single consumer GPU has enough VRAM to run NVIDIA Nemotron 3 Super 120B A12B BF16 Heretic at Q4_K_M (72.9 GB). Multi-GPU or professional hardware is required.
- Which devices can run NVIDIA Nemotron 3 Super 120B A12B BF16 Heretic?
19 devices with unified memory can run NVIDIA Nemotron 3 Super 120B A12B BF16 Heretic at Q4_K_M (72.9 GB), including ASUS Ascent GX10, Asus ROG Flow Z13 (2025, Ryzen AI Max+ 395, 128 GB), Beelink GTR9 Pro (Ryzen AI Max+ 395, 128 GB), Framework Desktop (Ryzen AI Max+ 395, 128 GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.