What are the hardware requirements for Gemma 1B Cares18k?

Gemma 1B Cares18k requires approximately 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 1B Cares18k and how large is it?

Gemma 1B Cares18k is developed by aarnav11, a model with 1b 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 1B Cares18k?

Gemma 1B Cares18k is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 1B Cares18k by aarnav11 — VRAM 2GB, 32K context

Name: Gemma 1B Cares18k
Author: aarnav11

Gemma 1B Cares18k is an open-source language model by aarnav11. Features: 1b LLM, VRAM: 2GB, Context: 32K, LLM Explorer Score: 0.23.

Gemma3 text Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/aarnav11/gemma_1b_cares18k

Gemma 1B Cares18k Parameters and Internals

LLM Name	Gemma 1b Cares18k
Repository 🤗	https://huggingface.co/aarnav11/gemma_1b_cares18k
Model Size	1b
Required VRAM	2 GB
Updated	2026-07-27
Maintainer	aarnav11
Model Type	gemma3_text
Model Files	2.0 GB
Model Architecture	Gemma3ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	5.4.0
Tokenizer Class	GemmaTokenizer
Padding Token	<eos>
Vocabulary Size	262144

Rank the Gemma 1B Cares18k 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

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Note: green Score (e.g. "73.2") means that the model is better than aarnav11/gemma_1b_cares18k.