What are the hardware requirements for Gemma3 270M IT ConvFill?

Gemma3 270M IT ConvFill 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 Gemma3 270M IT ConvFill and how large is it?

Gemma3 270M IT ConvFill is developed by vysri, 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 Gemma3 270M IT ConvFill?

Gemma3 270M IT ConvFill is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma3 270M IT ConvFill by vysri — VRAM 0.5GB, 32K context

Name: Gemma3 270M IT ConvFill
Author: vysri

Gemma3 270M IT ConvFill is an open-source language model by vysri. Features: 270m LLM, VRAM: 0.5GB, Context: 32K, License: gemma.

Arxiv:2511.07397 Base model:finetune:google/gem... Base model:google/gemma-3-270m... Conversational Dataset:zenglhardt/convfill-da... En Gemma3 text Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/vysri/gemma3-270m-IT-ConvFill

Gemma3 270M IT ConvFill Parameters and Internals

LLM Name	Gemma3 270M IT ConvFill
Repository 🤗	https://huggingface.co/vysri/gemma3-270m-IT-ConvFill
Base Model(s)	Gemma 3 270M It google/gemma-3-270m-it
Model Size	270m
Required VRAM	0.5 GB
Updated	2026-11-04
Maintainer	vysri
Model Type	gemma3_text
Model Files	0.5 GB
Supported Languages	en
Model Architecture	Gemma3ForCausalLM
License	gemma
Context Length	32768
Model Max Length	32768
Transformers Version	5.5.4
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	262146

Rank the Gemma3 270M IT ConvFill 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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Note: green Score (e.g. "73.2") means that the model is better than vysri/gemma3-270m-IT-ConvFill.