What are the hardware requirements for Gemma 3 1B It Thinking 32K Sft Base?

Gemma 3 1B It Thinking 32K Sft Base 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 32K Sft Base and how large is it?

Gemma 3 1B It Thinking 32K Sft Base is developed by chimbiwide, 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 32K Sft Base?

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

Name: Gemma 3 1B It Thinking 32K Sft Base
Author: chimbiwide

Gemma 3 1B It Thinking 32K Sft Base is an open-source language model by chimbiwide. Features: 1b LLM, VRAM: 2GB, Context: 32K, License: gemma, LLM Explorer Score: 0.22.

Conversational Endpoints compatible Gemma3 text Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/chimbiwide/gemma-3-1b-it-thinking-32k-sft-base

Gemma 3 1B It Thinking 32K Sft Base Parameters and Internals

LLM Name	Gemma 3 1B It Thinking 32K Sft Base
Repository 🤗	https://huggingface.co/chimbiwide/gemma-3-1b-it-thinking-32k-sft-base
Model Size	1b
Required VRAM	2 GB
Updated	2026-07-25
Maintainer	chimbiwide
Model Type	gemma3_text
Model Files	2.0 GB
Model Architecture	Gemma3ForCausalLM
License	gemma
Context Length	32768
Model Max Length	32768
Transformers Version	4.50.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	262144
Torch Data Type	bfloat16

Rank the Gemma 3 1B It Thinking 32K Sft Base 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 chimbiwide/gemma-3-1b-it-thinking-32k-sft-base.