What are the hardware requirements for Llama 3 3 Nemotron Super 49B V1 GGUF?

Llama 3 3 Nemotron Super 49B V1 GGUF requires approximately 11.4 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3 3 Nemotron Super 49B V1 GGUF and how large is it?

Llama 3 3 Nemotron Super 49B V1 GGUF is developed by unsloth, a model with 49b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Llama 3 3 Nemotron Super 49B V1 GGUF perform on standard benchmarks?

Llama 3 3 Nemotron Super 49B V1 GGUF has the following published scores: LMSYS ELO 1293. Compare against reference models on this page or on the LLM Explorer leaderboards.

Llama 3 3 Nemotron Super 49B V1 GGUF by unsloth — VRAM 11.4GB, 128K context

Name: Llama 3 3 Nemotron Super 49B V1 GGUF
Author: unsloth

Llama 3 3 Nemotron Super 49B V1 GGUF is an open-source language model by unsloth. Features: 49b LLM, VRAM: 11.4GB, Context: 128K, License: other, Quantized, LLM Explorer Score: 0.32, ELO: 1293.

Arxiv:2411.19146 Arxiv:2502.00203 Arxiv:2505.00949 Base model:nvidia/llama-3 3-ne... Base model:quantized:nvidia/ll... Conversational Custom code En Endpoints compatible Gguf Imatrix Nemotron-nas Nvidia Q2 Quantized Region:us Unsloth - llama-3 - pytorch

Model Card on HF 🤗: https://huggingface.co/unsloth/Llama-3_3-Nemotron-Super-49B-v1-GGUF

Llama 3 3 Nemotron Super 49B V1 GGUF Benchmarks

LMSys ELO 1293 vs 1272 (so35) 1.7%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Llama 3 3 Nemotron Super 49B V1 GGUF Parameters and Internals

LLM Name	Llama 3 3 Nemotron Super 49B V1 GGUF
Repository 🤗	https://huggingface.co/unsloth/Llama-3_3-Nemotron-Super-49B-v1-GGUF
Base Model(s)	...lama 3 3 Nemotron Super 49B V1 nvidia/Llama-3_3-Nemotron-Super-49B-v1
Model Size	49b
Required VRAM	11.4 GB
Updated	2026-08-05
Maintainer	unsloth
Model Type	nemotron-nas
Model Files	28.4 GB 26.9 GB 18.7 GB 19.0 GB 24.3 GB 22.0 GB 31.4 GB 30.2 GB 28.6 GB 35.4 GB 34.4 GB 40.9 GB 12.4 GB 11.4 GB 17.3 GB 14.0 GB 19.7 GB 19.3 GB 24.8 GB 30.4 GB 35.4 GB 43.4 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|q2\|q4_k\|q5_k
Model Architecture	DeciLMForCausalLM
License	other
Context Length	131072
Model Max Length	131072
Transformers Version	4.52.2
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3 3 Nemotron Super 49B V1 GGUF capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Llama 3 3 Nemotron Super 49B V1 GGUF

Best Alternatives	Context / RAM	Downloads	Likes
...motron Super 49B V1.5 Mlx 4Bit	128K / 27.9 GB	368	3
... Nemotron Super 49B V1.5 NVFP4	128K / 31.1 GB	22695	20
...lama 3 3 Nemotron Super 49B V1	128K / 100.2 GB	189371	325
...ma 3 3 Nemotron Super 49B V1.5	128K / 100.2 GB	21	3
...lama 3 3 Nemotron Super 49B V1	128K / 100.2 GB	50	0
... 3 Nemotron Super 49B V1.5 FP8	128K / 52 GB	255666	28
...ma 3 3 Nemotron Super 49B V1.5	128K / 100.2 GB	57679	234
Valkyrie 49B V2.1	128K / 100.2 GB	223	30
Valkyrie 49B V2	128K / 100.2 GB	10	30
... 3 3 Nemotron Super 49B V1 FP8	128K / 52 GB	1025	13

Note: green Score (e.g. "73.2") means that the model is better than unsloth/Llama-3_3-Nemotron-Super-49B-v1-GGUF.