What are the hardware requirements for Gemma3 0.5B?

Gemma3 0.5B requires approximately 2.7 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma3 0.5B and how large is it?

Gemma3 0.5B is developed by Abhay557, a model with 0.5b 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 Gemma3 0.5B?

Gemma3 0.5B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma3 0.5B by Abhay557 — VRAM 2.7GB, 32K context

Name: Gemma3 0.5B
Author: Abhay557

Gemma3 0.5B is an open-source language model by Abhay557. Features: 0.5b LLM, VRAM: 2.7GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.25.

Arxiv:2503.19786 Conversational Custom-architecture En Endpoints compatible From-scratch Gemma Gemma3 Gemma3 text Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Abhay557/gemma3-0.5B

Gemma3 0.5B Parameters and Internals

LLM Name	Gemma3 0.5B
Repository 🤗	https://huggingface.co/Abhay557/gemma3-0.5B
Model Size	0.5b
Required VRAM	2.7 GB
Updated	2026-04-27
Maintainer	Abhay557
Model Type	gemma3_text
Model Files	2.7 GB
Supported Languages	en
Model Architecture	Gemma3ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	5.0.0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	262144

Rank the Gemma3 0.5B 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