What are the hardware requirements for Gemma 3 1B It Thinking Sft?

Gemma 3 1B It Thinking Sft 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 3 1B It Thinking Sft and how large is it?

Gemma 3 1B It Thinking Sft is developed by fyuuki0jp, 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 3 1B It Thinking Sft?

Gemma 3 1B It Thinking Sft is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 3 1B It Thinking Sft by fyuuki0jp — VRAM 2GB, 32K context

Name: Gemma 3 1B It Thinking Sft
Author: fyuuki0jp

Gemma 3 1B It Thinking Sft is an open-source language model by fyuuki0jp. Features: 1b LLM, VRAM: 2GB, Context: 32K, LLM Explorer Score: 0.18.

Autotrain compatible Base model:finetune:google/gem... Base model:google/gemma-3-1b-i... Endpoints compatible Gemma3 text Generated from trainer Region:us Safetensors Sft Tensorboard Trl

Model Card on HF 🤗: https://huggingface.co/fyuuki0jp/gemma-3-1b-it-thinking-sft

Gemma 3 1B It Thinking Sft Parameters and Internals

LLM Name	Gemma 3 1B It Thinking Sft
Repository 🤗	https://huggingface.co/fyuuki0jp/gemma-3-1b-it-thinking-sft
Model Name	gemma-3-1b-it-thinking-sft
Base Model(s)	Gemma 3 1B It google/gemma-3-1b-it
Model Size	1b
Required VRAM	2 GB
Updated	2025-05-08
Maintainer	fyuuki0jp
Model Type	gemma3_text
Model Files	2.0 GB 0.0 GB
Model Architecture	Gemma3ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.51.3
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	262144
Torch Data Type	bfloat16

Rank the Gemma 3 1B It Thinking Sft 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 fyuuki0jp/gemma-3-1b-it-thinking-sft.