nvidia / text-generation updated 9 months ago

Llama-3_3-Nemotron-Super-49B-v1

Name: Llama-3_3-Nemotron-Super-49B-v1
Author: nvidia

Llama-3.3-Nemotron-Super-49B-v1 is a large language model (LLM) which is a derivative of Meta Llama-3.3-70B-Instruct (AKA the reference model). It is a reasoning model that is post trained for reasoning, human chat preferences, and tasks, such as RAG and tool calling. The model supports a context length of 128K tokens.

Params

49.9 B

Context

131,072

Downloads 30d

187 K

Likes

326

Licence: other Not gated SAFETENSORS 1 languages View on Hugging Face ↗

Download history

daily snapshots · 10 days

188 K182 K

Jul 28Jul 31Aug 3Aug 6

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
model.safetensors	bf16	99.7 GB	117.7 GB	❌ Won’t fit
model.safetensors (bf16, full)	bf16 + 128K ctx	99.7 GB	229.9 GB	❌ Won’t fit

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Run it

copy-paste, exact tags checked against the Hub

~ · curl · api/v1

$ curl -s https://aimodelscomparison.com/api/v1/models/llama-3-3-nemotron-super-49b-v1
{
  "hf_id": "nvidia/Llama-3_3-Nemotron-Super-49B-v1",
  "params_b": 49.87,
  "context_length": 131072,
  "license": { "id": "other", "commercial": "unknown" },
  "downloads_30d": 186829,
  "vram_estimates": [
    { "quant": "bf16", "gb": 117.7 }
  ],
  "updated_at": "2026-07-28T18:08:21Z"
}

est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture: DeciLMForCausalLM
Parameters: 49.9 B
Tensor type: BF16
Context length: 131,072
Vocabulary: 128,256
Layers / heads: 80 / 64
Licence: other
First seen on the Hub: 2025-03-16
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Compare with

Qwen3.6-35B-A3B-NVFP4 11.3 M gpt-oss-20b 8.6 M Qwen3-32B 8.3 M dolphin-2.9.1-yi-1.5-34b 4.6 M OTel-2.0-LLM-31B-IT 3.3 M NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4 2.8 M

Appears in

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