What are the hardware requirements for Llama 3.1 Minitron 4B Width Base Chatml?

Llama 3.1 Minitron 4B Width Base Chatml requires approximately 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 3.1 Minitron 4B Width Base Chatml and how large is it?

Llama 3.1 Minitron 4B Width Base Chatml is developed by IntervitensInc, a model with 4b 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 Minitron 4B Width Base Chatml?

Llama 3.1 Minitron 4B Width Base Chatml is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.1 Minitron 4B Width Base Chatml by IntervitensInc — VRAM 9GB, 128K context

Name: Llama 3.1 Minitron 4B Width Base Chatml
Author: IntervitensInc

Llama 3.1 Minitron 4B Width Base Chatml is an open-source language model by IntervitensInc. Features: 4b LLM, VRAM: 9GB, Context: 128K, License: other, LLM Explorer Score: 0.15.

Arxiv:2009.03300 Arxiv:2407.14679 Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/IntervitensInc/Llama-3.1-Minitron-4B-Width-Base-chatml

Llama 3.1 Minitron 4B Width Base Chatml Benchmarks

LLME Score: 0.14651

^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 Minitron 4B Width Base Chatml (IntervitensInc/Llama-3.1-Minitron-4B-Width-Base-chatml)

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Llama 3.1 Minitron 4B Width Base Chatml Parameters and Internals

Model Type

Base, Text-to-Text

Use Cases

Areas:

Research, Commercial applications

Applications:

Language generation,

Primary Use Cases:

Natural language generation tasks

Limitations:

May amplify biases contained in the training data, Potential for inaccuracies in generated responses

Considerations:

Developers to address unforeseen misuse and ensure compliance with industry standards.

Additional Notes

Continued support will be added to the `transformers` library.

Supported Languages

English (fluent), Multilingual (basic)

Training Details

Data Sources:

English and multilingual text, code from webpages, dialogue, articles

Data Volume:

94 billion tokens

Methodology:

Pruning with continued training via distillation

Context Length:

8000

Training Time:

July 29, 2024 - Aug 3, 2024

Hardware Used:

NVIDIA hardware (specific microarchitectures mentioned)

Model Architecture:

Transformer Decoder

Safety Evaluation

Methodologies:

5-shot and zero-shot performance evaluation, Code generation performance

Findings:

Shows potential bias and possibility of generating undesirable text

Risk Categories:

bias, toxicity, inaccuracy

Ethical Considerations:

NVIDIA promotes Trustworthy AI and requires adhering to their terms of service

Responsible Ai Considerations

Fairness:

Developers must ensure fair and unbiased results in their applications.

Transparency:

Models should be used with understanding of potential biases.

Accountability:

Users must take responsibility for deploying the model appropriately.

Mitigation Strategies:

NVIDIA encourages use with internal model teams and reporting vulnerabilities.

Input Output

Input Format:

String

Accepted Modalities:

Text

Output Format:

String

Performance Tips:

Optimal performance with prompt lengths within 8k characters.

LLM Name	Llama 3.1 Minitron 4B Width Base Chatml
Repository 🤗	https://huggingface.co/IntervitensInc/Llama-3.1-Minitron-4B-Width-Base-chatml
Model Size	4b
Required VRAM	9 GB
Updated	2026-05-19
Maintainer	IntervitensInc
Model Type	llama
Model Files	5.0 GB: 1-of-2 4.0 GB: 2-of-2
Model Architecture	LlamaForCausalLM
License	other
Context Length	131072
Model Max Length	131072
Transformers Version	4.45.0.dev0
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Best Alternatives to Llama 3.1 Minitron 4B Width Base Chatml

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4Bcpt	256K / 8.8 GB	5	0
HoldMy4BKTO	256K / 8.8 GB	5	0
Xgen Small 4B Instruct R	256K / 17.7 GB	47	4
Xgen Small 4B Base R	256K / 17.7 GB	43	2
SJT 4B	146K / 7.6 GB	10	0
...lama 3.1 Nemotron Nano 4B V1.1	128K / 9 GB	2929	114
Impish LLAMA 4B	128K / 9 GB	1133	42
...lama 3.1 Nemotron Nano 4B V1.1	128K / 9 GB	2582	5
Nemotron W 4b MagLight 0.1	128K / 9.2 GB	7	3
Loxa 4B	128K / 16 GB	26	0

Note: green Score (e.g. "73.2") means that the model is better than IntervitensInc/Llama-3.1-Minitron-4B-Width-Base-chatml.

Rank the Llama 3.1 Minitron 4B Width Base Chatml Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 Minitron 4B Width Base Chatml by IntervitensInc

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Llama 3.1 Minitron 4B Width Base Chatml Benchmarks

Llama 3.1 Minitron 4B Width Base Chatml Parameters and Internals

Best Alternatives to Llama 3.1 Minitron 4B Width Base Chatml

Rank the Llama 3.1 Minitron 4B Width Base Chatml Capabilities

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