What are the hardware requirements for Gemma 3 270M Uk Verbalizer?

Gemma 3 270M Uk Verbalizer requires approximately 0.2 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 Uk Verbalizer and how large is it?

Gemma 3 270M Uk Verbalizer is developed by skypro1111, 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 Uk Verbalizer?

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

Gemma 3 270M Uk Verbalizer by skypro1111 — VRAM 0.2GB, 32K context

Name: Gemma 3 270M Uk Verbalizer
Author: skypro1111

Gemma 3 270M Uk Verbalizer is an open-source language model by skypro1111. Features: 270m LLM, VRAM: 0.2GB, Context: 32K, License: gemma, Quantized, LLM Explorer Score: 0.34.

Base model:google/gemma-3-270m... Base model:quantized:google/ge... Conversational Dataset:skypro1111/uk-text-nor... Endpoints compatible Gemma3 Gemma3 text Gguf Onnx Quantized Region:us Safetensors Text-normalization Tts Uk Ukrainian

Model Card on HF 🤗: https://huggingface.co/skypro1111/gemma-3-270m-uk-verbalizer

Gemma 3 270M Uk Verbalizer Parameters and Internals

LLM Name	Gemma 3 270M Uk Verbalizer
Repository 🤗	https://huggingface.co/skypro1111/gemma-3-270m-uk-verbalizer
Base Model(s)	Gemma 3 270M It google/gemma-3-270m-it
Model Size	270m
Required VRAM	0.2 GB
Updated	2026-08-19
Maintainer	skypro1111
Model Type	gemma3_text
Model Files	0.2 GB
Supported Languages	uk
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	Gemma3ForCausalLM
License	gemma
Context Length	32768
Model Max Length	32768
Transformers Version	4.57.6
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<pad>
Vocabulary Size	38651

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