What are the hardware requirements for Gemma 3 270M?

Gemma 3 270M requires approximately 0.5 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 Gemma 3 270M and how large is it?

Gemma 3 270M is developed by unsloth, a model with 270m 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 Gemma 3 270M?

Gemma 3 270M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 3 270M by unsloth — VRAM 0.5GB, 32K context

Name: Gemma 3 270M
Author: unsloth

Gemma 3 270M is an open-source language model by unsloth. Features: 270m LLM, VRAM: 0.5GB, Context: 32K, License: gemma, LLM Explorer Score: 0.23.

Arxiv:1705.03551 Arxiv:1810.12440 Arxiv:1903.00161 Arxiv:1904.09728 Arxiv:1905.07830 Arxiv:1905.10044 Arxiv:1907.10641 Arxiv:1908.02660 Arxiv:1910.11856 Arxiv:1911.01547 Arxiv:1911.11641 Arxiv:2009.03300 Arxiv:2103.03874 Arxiv:2104.12756 Arxiv:2106.03193 Arxiv:2107.03374 Arxiv:2108.07732 Arxiv:2110.14168 Arxiv:2203.10244 Arxiv:2210.03057 Arxiv:2304.06364 Arxiv:2305.03111 Arxiv:2310.02255 Arxiv:2311.07911 Arxiv:2311.12022 Arxiv:2311.16502 Arxiv:2312.11805 Arxiv:2403.07974 Arxiv:2404.12390 Arxiv:2404.16816 Arxiv:2405.04520 Arxiv:2411.04368 Arxiv:2502.12404 Arxiv:2502.21228 Arxiv:2503.19786 Base model:finetune:google/gem... Base model:google/gemma-3-270m Endpoints compatible Gemma Gemma3 Gemma3 text Google Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/gemma-3-270m

Gemma 3 270M Parameters and Internals

LLM Name	Gemma 3 270M
Repository 🤗	https://huggingface.co/unsloth/gemma-3-270m
Base Model(s)	Gemma 3 270M google/gemma-3-270m
Model Size	270m
Required VRAM	0.5 GB
Updated	2026-08-06
Maintainer	unsloth
Model Type	gemma3_text
Model Files	0.5 GB
Model Architecture	Gemma3ForCausalLM
License	gemma
Context Length	32768
Model Max Length	32768
Transformers Version	4.55.2
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	262144
Torch Data Type	bfloat16

Rank the Gemma 3 270M 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 Gemma 3 270M

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 3 270M	32K / 0.5 GB	5434146	1041
Gemma 3 270M It	32K / 0.5 GB	1222057	604
Functiongemma 270M It	32K / 0.5 GB	38635	1044
Functiongemma 270M It	32K / 0.5 GB	4949	13
Episodic Lora3 Grpo2 Merged	32K / 0.5 GB	728	0
Gemma 3 270M It	32K / 0.5 GB	21566	23
Episodic Lora3 Grpo4 Merged	32K / 0.5 GB	507	0
Episodic Lora3 Grpo Merged	32K / 0.5 GB	420	1
Gemma 3 270M MaxSlop 24e	32K / 0.5 GB	11	0
...0M It OpenCode Title Generator	32K / 0.5 GB	10	0

Note: green Score (e.g. "73.2") means that the model is better than unsloth/gemma-3-270m.