What are the hardware requirements for Llama3 2B Base?

Llama3 2B Base requires approximately 4.7 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama3 2B Base and how large is it?

Llama3 2B Base is developed by andrijdavid, a model with 2b 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 Llama3 2B Base?

Llama3 2B Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama3 2B Base by andrijdavid — VRAM 4.7GB, 8K context

Name: Llama3 2B Base
Author: andrijdavid

Llama3 2B Base is an open-source language model by andrijdavid. Features: 2b LLM, VRAM: 4.7GB, Context: 8K, License: cc-by-4.0, Instruction-Based, LLM Explorer Score: 0.13.

Conversational En Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/andrijdavid/Llama3-2B-Base

Llama3 2B Base Parameters and Internals

Model Type

text generation

Use Cases

Areas:

research, commercial applications

Applications:

natural language processing tasks

Primary Use Cases:

Text generation, Question answering, Sentiment analysis, Translation, Summarization

Limitations:

may generate factually incorrect or biased outputs, may produce offensive or inappropriate content

Considerations:

Users and developers should implement mitigation strategies for biases and offensive content.

Additional Notes

The model is designed to be efficient for environments with limited computational resources while retaining capabilities of larger LLMs.

Supported Languages

en (primary)

Input Output

Accepted Modalities:

text

LLM Name	Llama3 2B Base
Repository 🤗	https://huggingface.co/andrijdavid/Llama3-2B-Base
Model Size	2b
Required VRAM	4.7 GB
Updated	2026-07-31
Maintainer	andrijdavid
Model Type	llama
Instruction-Based	Yes
Model Files	4.7 GB: 1-of-1
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	cc-by-4.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.41.2
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama3 2B 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 Llama3 2B Base

Best Alternatives	Context / RAM	Downloads	Likes
Aitana 2B SI Instruct	8K / 4.5 GB	52	0
Aitana 2B SI Instruct Aligned	8K / 4.5 GB	19	0
Aitana 2B S IP Instruct	8K / 4.5 GB	13	0
Aitana 2B S Instruct Aligned	8K / 6.9 GB	10	0
Salamandra 2B Fft Trenes	8K / 4.5 GB	32	0
SmolLM2 MedIT Upscale 2B	8K / 4.2 GB	6	5
Salamandra 2B Instruct	8K / 4.5 GB	2972	29

Note: green Score (e.g. "73.2") means that the model is better than andrijdavid/Llama3-2B-Base.