What are the hardware requirements for Llama 3.1 Nemotron 92B Instruct HF Late?

Llama 3.1 Nemotron 92B Instruct HF Late requires approximately 77.3 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 3.1 Nemotron 92B Instruct HF Late and how large is it?

Llama 3.1 Nemotron 92B Instruct HF Late is developed by ssmits, a model with 70b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Llama 3.1 Nemotron 92B Instruct HF Late?

Llama 3.1 Nemotron 92B Instruct HF Late is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.1 Nemotron 92B Instruct HF Late by ssmits — VRAM 77.3GB, 128K context

Name: Llama 3.1 Nemotron 92B Instruct HF Late
Author: ssmits

Llama 3.1 Nemotron 92B Instruct HF Late is an open-source language model by ssmits. Features: 70b LLM, VRAM: 77.3GB, Context: 128K, Instruction-Based, Merged, LLM Explorer Score: 0.16.

Merged Model Base model:finetune:nvidia/lla... Base model:nvidia/llama-3.1-ne... Conversational Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ssmits/Llama-3.1-Nemotron-92B-Instruct-HF-late

Llama 3.1 Nemotron 92B Instruct HF Late Benchmarks

LLME Score: 0.15806

^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 3.1 Nemotron 92B Instruct HF Late (ssmits/Llama-3.1-Nemotron-92B-Instruct-HF-late)

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Llama 3.1 Nemotron 92B Instruct HF Late Parameters and Internals

LLM Name	Llama 3.1 Nemotron 92B Instruct HF Late
Repository 🤗	https://huggingface.co/ssmits/Llama-3.1-Nemotron-92B-Instruct-HF-late
Base Model(s)	nvidia/Llama-3.1-Nemotron-70B-Instruct-HF nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
Merged Model	Yes
Model Size	70b
Required VRAM	77.3 GB
Updated	2026-05-24
Maintainer	ssmits
Model Type	llama
Instruction-Based	Yes
Model Files	2.1 GB: 1-of-107 2.1 GB: 2-of-107 1.7 GB: 3-of-107 1.7 GB: 4-of-107 1.9 GB: 5-of-107 1.5 GB: 6-of-107 1.9 GB: 7-of-107 1.5 GB: 8-of-107 1.9 GB: 9-of-107 1.5 GB: 10-of-107 1.9 GB: 11-of-107 1.5 GB: 12-of-107 1.9 GB: 13-of-107 1.5 GB: 14-of-107 1.9 GB: 15-of-107 1.5 GB: 16-of-107 1.9 GB: 17-of-107 1.5 GB: 18-of-107 1.9 GB: 19-of-107 1.5 GB: 20-of-107 1.9 GB: 21-of-107 1.5 GB: 22-of-107 1.9 GB: 23-of-107 1.5 GB: 24-of-107 1.7 GB: 25-of-107 1.9 GB: 26-of-107 1.5 GB: 27-of-107 1.9 GB: 28-of-107 1.5 GB: 29-of-107 1.9 GB: 30-of-107 1.5 GB: 31-of-107 1.9 GB: 32-of-107 1.5 GB: 33-of-107 1.9 GB: 34-of-107 1.5 GB: 35-of-107 1.9 GB: 36-of-107 1.5 GB: 37-of-107 1.9 GB: 38-of-107 1.5 GB: 39-of-107 1.9 GB: 40-of-107 1.5 GB: 41-of-107 1.9 GB: 42-of-107 1.5 GB: 43-of-107 1.9 GB: 44-of-107 1.5 GB: 45-of-107
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.46.1
Vocabulary Size	128256
Torch Data Type	bfloat16

Best Alternatives to Llama 3.1 Nemotron 92B Instruct HF Late

Best Alternatives	Context / RAM	Downloads	Likes
... Chat 1048K Chinese Llama3 70B	1024K / 141.9 GB	9069	5
... Chat 1048K Chinese Llama3 70B	1024K / 141.9 GB	8286	4
... 3 70B Instruct Gradient 1048K	1024K / 141.9 GB	21	122
Llama3 Function Calling 1048K	1024K / 141.9 GB	3	1
...a 3 70B Instruct Gradient 524K	512K / 141.9 GB	36	23
...a 3 70B Instruct Gradient 262K	256K / 141.9 GB	21	56
...ama 3 70B Arimas Story RP V2.0	256K / 141.1 GB	12	3
...ama 3 70B Arimas Story RP V1.6	256K / 141.2 GB	7	0
...ama 3 70B Arimas Story RP V1.5	256K / 141.2 GB	25	3
Llama 3.1 70B Instruct	128K / 141.9 GB	759361	919

Note: green Score (e.g. "73.2") means that the model is better than ssmits/Llama-3.1-Nemotron-92B-Instruct-HF-late.

Rank the Llama 3.1 Nemotron 92B Instruct HF Late Capabilities

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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

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Llama 3.1 Nemotron 92B Instruct HF Late by ssmits

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Llama 3.1 Nemotron 92B Instruct HF Late Benchmarks

Llama 3.1 Nemotron 92B Instruct HF Late Parameters and Internals

Best Alternatives to Llama 3.1 Nemotron 92B Instruct HF Late

Rank the Llama 3.1 Nemotron 92B Instruct HF Late Capabilities

What open-source LLMs or SLMs are you in search of? 53972 in total.