What are the hardware requirements for Minitron 8B Base?

Minitron 8B Base requires approximately 16.5 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Minitron 8B Base and how large is it?

Minitron 8B Base is developed by nvidia, a model with 8b 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 Minitron 8B Base?

Minitron 8B Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Minitron 8B Base by nvidia — VRAM 16.5GB, 4K context

Name: Minitron 8B Base
Author: nvidia

Minitron 8B Base is an open-source language model by nvidia. Features: 8b LLM, VRAM: 16.5GB, Context: 4K, License: other, LLM Explorer Score: 0.23.

Arxiv:2009.03300 Arxiv:2407.14679 En Endpoints compatible Llama-3 Nemo Nemotron Nvidia Pytorch Region:us

Model Card on HF 🤗: https://huggingface.co/nvidia/Minitron-8B-Base

Minitron 8B Base Parameters and Internals

Model Type

text generation, auto-regressive

Use Cases

Areas:

research, development

Applications:

Multitask language understanding, code generation

Limitations:

Contains biases from internet-crawled data, May emit toxic or biased content

Considerations:

Developers must ensure use case requirements and address model misuse

Additional Notes

Performance improvements achieved with fewer training tokens per model.

Supported Languages

languages (/text), proficiency_levels (English and multilingual, including code)

Training Details

Data Sources:

continuous pre-training data corpus from Nemotron-4 15B

Data Volume:

94 billion tokens

Methodology:

Pruning, knowledge distillation, continued training

Training Time:

Feb 2024 - June 2024

Hardware Used:

NVIDIA A100

Model Architecture:

Transformer Decoder

Responsible Ai Considerations

Fairness:

Efforts required by developers to ensure meeting industry and use case requirements.

Accountability:

Shared responsibility promoted by NVIDIA

Mitigation Strategies:

Establish policies and practices to address product misuse.

Input Output

Input Format:

String

Output Format:

String

Release Notes

Version:

Minitron-8B-Base

Date:

February 2024 - June 2024

Notes:

Pruned and distilled from Nemotron-4 15B, achieving compute cost savings and improved performance.

LLM Name	Minitron 8B Base
Repository 🤗	https://huggingface.co/nvidia/Minitron-8B-Base
Model Size	8b
Required VRAM	16.5 GB
Updated	2026-07-29
Maintainer	nvidia
Model Type	nemotron
Model Files	16.5 GB
Supported Languages	en
Model Architecture	NemotronForCausalLM
License	other
Context Length	4096
Model Max Length	4096
Transformers Version	4.44.0
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Minitron 8B Base 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 Minitron 8B Base

Best Alternatives	Context / RAM	Downloads	Likes
Nemotron3 8B	4K / 17.1 GB	5071	0