What are the hardware requirements for Gemma 3 270M Dhivehi Text Classifier?

Gemma 3 270M Dhivehi Text Classifier 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 Dhivehi Text Classifier and how large is it?

Gemma 3 270M Dhivehi Text Classifier is developed by alakxender, 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 Dhivehi Text Classifier?

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

Gemma 3 270M Dhivehi Text Classifier by alakxender — VRAM 0.5GB, 32K context

Name: Gemma 3 270M Dhivehi Text Classifier
Author: alakxender

Gemma 3 270M Dhivehi Text Classifier is an open-source language model by alakxender. Features: 270m LLM, VRAM: 0.5GB, Context: 32K, License: mit, LLM Explorer Score: 0.2.

Base model:finetune:google/gem... Base model:google/gemma-3-270m... Classification Conversational Dataset:alakxender/dhivehi-eng... Dataset:alakxender/dhivehi-eng... Dhivehi Dv Endpoints compatible Gemma3 text Intent-recognition Opinion-mining Region:us Safetensors Sentiment-analysis Thaana Topic-classification

Model Card on HF 🤗: https://huggingface.co/alakxender/gemma-3-270m-dhivehi-text-classifier

Gemma 3 270M Dhivehi Text Classifier Parameters and Internals

LLM Name	Gemma 3 270M Dhivehi Text Classifier
Repository 🤗	https://huggingface.co/alakxender/gemma-3-270m-dhivehi-text-classifier
Base Model(s)	Gemma 3 270M It google/gemma-3-270m-it
Model Size	270m
Required VRAM	0.5 GB
Updated	2026-08-07
Maintainer	alakxender
Model Type	gemma3_text
Model Files	0.5 GB
Supported Languages	dv
Model Architecture	Gemma3ForCausalLM
License	mit
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 Dhivehi Text Classifier capabilities

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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	32K / 0.5 GB	5434146	1041
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Episodic Lora3 Grpo4 Merged	32K / 0.5 GB	507	0
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Note: green Score (e.g. "73.2") means that the model is better than alakxender/gemma-3-270m-dhivehi-text-classifier.