What are the hardware requirements for Llama Primus Nemotron 70B Base?

Llama Primus Nemotron 70B Base requires approximately 141.9 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 Primus Nemotron 70B Base and how large is it?

Llama Primus Nemotron 70B Base is developed by trend-cybertron, 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 Primus Nemotron 70B Base?

Llama Primus Nemotron 70B Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama Primus Nemotron 70B Base by trend-cybertron — VRAM 141.9GB, 128K context

Name: Llama Primus Nemotron 70B Base
Author: trend-cybertron

Llama Primus Nemotron 70B Base is an open-source language model by trend-cybertron. Features: 70b LLM, VRAM: 141.9GB, Context: 128K, License: mit, Instruction-Based, LLM Explorer Score: 0.18.

Arxiv:2402.07688 Arxiv:2406.07599 Arxiv:2406.11617 Arxiv:2502.11191 Base model:finetune:nvidia/lla... Base model:nvidia/llama-3.1-ne... Conversational Cybersecurity Dataset:trend-cybertron/primus... Dataset:trendmicro-ailab/primu... En Endpoints compatible Instruct Ja Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/trend-cybertron/Llama-Primus-Nemotron-70B-Base

Llama Primus Nemotron 70B Base Parameters and Internals

LLM Name	Llama Primus Nemotron 70B Base
Repository 🤗	https://huggingface.co/trend-cybertron/Llama-Primus-Nemotron-70B-Base
Base Model(s)	nvidia/Llama-3.1-Nemotron-70B-Instruct nvidia/Llama-3.1-Nemotron-70B-Instruct
Model Size	70b
Required VRAM	141.9 GB
Updated	2026-07-30
Maintainer	trend-cybertron
Model Type	llama
Instruction-Based	Yes
Model Files	4.6 GB: 1-of-30 4.7 GB: 2-of-30 5.0 GB: 3-of-30 5.0 GB: 4-of-30 4.7 GB: 5-of-30 4.7 GB: 6-of-30 4.7 GB: 7-of-30 5.0 GB: 8-of-30 5.0 GB: 9-of-30 4.7 GB: 10-of-30 4.7 GB: 11-of-30 4.7 GB: 12-of-30 5.0 GB: 13-of-30 5.0 GB: 14-of-30 4.7 GB: 15-of-30 4.7 GB: 16-of-30 4.7 GB: 17-of-30 5.0 GB: 18-of-30 5.0 GB: 19-of-30 4.7 GB: 20-of-30 4.7 GB: 21-of-30 4.7 GB: 22-of-30 5.0 GB: 23-of-30 5.0 GB: 24-of-30 4.7 GB: 25-of-30 4.7 GB: 26-of-30 4.7 GB: 27-of-30 5.0 GB: 28-of-30 5.0 GB: 29-of-30 2.1 GB: 30-of-30
Supported Languages	en ja
Model Architecture	LlamaForCausalLM
License	mit
Context Length	131072
Model Max Length	131072
Transformers Version	4.44.0
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama Primus Nemotron 70B Base 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

Best Alternatives to Llama Primus Nemotron 70B Base

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	7684	4
... 3 70B Instruct Gradient 1048K	1024K / 141.9 GB	22	122
Llama3 Function Calling 1048K	1024K / 141.9 GB	5	1
...a 3 70B Instruct Gradient 524K	512K / 141.9 GB	24	23
...a 3 70B Instruct Gradient 262K	256K / 141.9 GB	20	56
...ama 3 70B Arimas Story RP V2.0	256K / 141.1 GB	10	3
...ama 3 70B Arimas Story RP V1.6	256K / 141.2 GB	5	0
...ama 3 70B Arimas Story RP V1.5	256K / 141.2 GB	21	3
Llama 3.1 70B Instruct	128K / 141.9 GB	813492	938

Note: green Score (e.g. "73.2") means that the model is better than trend-cybertron/Llama-Primus-Nemotron-70B-Base.