What are the hardware requirements for Tiny Random Llama 3?

Tiny Random Llama 3 requires a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Tiny Random Llama 3 and how large is it?

Tiny Random Llama 3 is developed by llamafactory, a model with 4.1m 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 Tiny Random Llama 3?

Tiny Random Llama 3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Tiny Random Llama 3 by llamafactory — 128K context

Name: Tiny Random Llama 3
Author: llamafactory

Tiny Random Llama 3 is an open-source language model by llamafactory. Features: 4.1m LLM, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.23.

Conversational Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/llamafactory/tiny-random-Llama-3

Tiny Random Llama 3 Parameters and Internals

Additional Notes

This is a tiny version based on Meta-Llama-3-8B-Instruct.

LLM Name	Tiny Random Llama 3
Repository 🤗	https://huggingface.co/llamafactory/tiny-random-Llama-3
Model Size	4.1m
Required VRAM	0 GB
Updated	2026-05-25
Maintainer	llamafactory
Model Type	llama
Model Files	0.0 GB 0.0 GB
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.42.3
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	float16

Rank the Tiny Random Llama 3 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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Tiny Random Llama3ForCausalLM	2K / 0 GB	7332	1