What are the hardware requirements for Gemma 3 270M It Qat?

Gemma 3 270M It Qat 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 It Qat and how large is it?

Gemma 3 270M It Qat 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 It Qat?

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

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

Name: Gemma 3 270M It Qat
Author: unsloth

Gemma 3 270M It Qat is an open-source language model by unsloth. Features: 270m LLM, VRAM: 0.5GB, Context: 32K, License: gemma, Quantized, LLM Explorer Score: 0.2.

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... Conversational Endpoints compatible Gemma Gemma3 Gemma3 text Google Q4 Q4 0 Quantized Region:us Safetensors Unsloth

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

Gemma 3 270M It Qat Parameters and Internals

LLM Name	Gemma 3 270M It Qat
Repository 🤗	https://huggingface.co/unsloth/gemma-3-270m-it-qat
Base Model(s)	...3 270M It Qat Q4 0 Unquantized google/gemma-3-270m-it-qat-q4_0-unquantized
Model Size	270m
Required VRAM	0.5 GB
Updated	2026-08-07
Maintainer	unsloth
Model Type	gemma3_text
Model Files	0.5 GB
Quantization Type	q4\|q4_0
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 It Qat 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 It Qat

Best Alternatives	Context / RAM	Downloads	Likes
...gemma 270M It Unsloth Bnb 4bit	32K / 0.4 GB	1487	2
...mma 3 270M It Unsloth Bnb 4bit	32K / 0.4 GB	7309	6
Episodic Lora Grpo2 Merged	32K / 0.5 GB	20	0
Episodic Lora Grpo2b Merged	32K / 0.5 GB	18	0
Episodic Lora Merged	32K / 0.5 GB	16	0
Raga Radar V2	32K / 0.9 GB	10	0
Functiongemma 270M It 4bit	32K / 0.2 GB	326	3
Gemma 3 270M It MLX 8bit	32K / 0.5 GB	2167	2
Gemma 3 270M It 8bit	32K / 0.5 GB	2090	2
Gemma 3 270M It Qat MLX 4bit	32K / 0.2 GB	1867	3

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