What are the hardware requirements for Gemma 3 270M 8bit?

Gemma 3 270M 8bit 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 8bit and how large is it?

Gemma 3 270M 8bit is developed by mlx-community, 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 8bit?

Gemma 3 270M 8bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 3 270M 8bit by mlx-community — VRAM 0.5GB, 32K context

Name: Gemma 3 270M 8bit
Author: mlx-community

Gemma 3 270M 8bit is an open-source language model by mlx-community. Features: 270m LLM, VRAM: 0.5GB, Context: 32K, License: gemma, Quantized, LLM Explorer Score: 0.21.

8-bit 8bit Base model:google/gemma-3-270m Base model:quantized:google/ge... Conversational Gemma3 text Mlx Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/mlx-community/gemma-3-270m-8bit

Gemma 3 270M 8bit Benchmarks

LLME Score: 0.2059

^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)

Gemma 3 270M 8bit (mlx-community/gemma-3-270m-8bit)

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Gemma 3 270M 8bit Parameters and Internals

LLM Name	Gemma 3 270M 8bit
Repository 🤗	https://huggingface.co/mlx-community/gemma-3-270m-8bit
Base Model(s)	Gemma 3 270M google/gemma-3-270m
Model Size	270m
Required VRAM	0.5 GB
Updated	2026-05-11
Maintainer	mlx-community
Model Type	gemma3_text
Model Files	0.5 GB
Quantization Type	8bit
Model Architecture	Gemma3ForCausalLM
License	gemma
Context Length	32768
Model Max Length	32768
Transformers Version	4.55.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	262144
Torch Data Type	bfloat16

Quantized Models of the Gemma 3 270M 8bit

Model	Likes	Downloads	VRAM
Raga Radar V2	0	79	0 GB

Best Alternatives to Gemma 3 270M 8bit

Best Alternatives	Context / RAM	Downloads	Likes
Episodic Lora Grpo2b Merged	32K / 0.5 GB	894	0
Gemma 3 270M It Qat MLX 4bit	32K / 0.2 GB	40772	3
...gemma 270M It Unsloth Bnb 4bit	32K / 0.4 GB	3247	2
...mma 3 270M It Unsloth Bnb 4bit	32K / 0.4 GB	16928	5
Episodic Lora Merged	32K / 0.5 GB	13	0
Episodic Lora Grpo2 Merged	32K / 0.5 GB	66	0
Raga Radar V2	32K / 0.9 GB	79	0
Gemma 3 270M It MLX 8bit	32K / 0.5 GB	4475	2
Gemma 3 270M It Qat	32K / 0.5 GB	3426	3
Gemma 3 270M It 4bit	32K / 0.2 GB	1321	10

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/gemma-3-270m-8bit.

Rank the Gemma 3 270M 8bit 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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Gemma 3 270M 8bit by mlx-community