What are the hardware requirements for Gemma 3 1B It Qat Bnb 4bit?

Gemma 3 1B It Qat Bnb 4bit requires approximately 1 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 Qat Bnb 4bit and how large is it?

Gemma 3 1B It Qat Bnb 4bit is developed by unsloth, 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 Qat Bnb 4bit?

Gemma 3 1B It Qat Bnb 4bit 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 Qat Bnb 4bit by unsloth — VRAM 1GB, 32K context

Name: Gemma 3 1B It Qat Bnb 4bit
Author: unsloth

Gemma 3 1B It Qat Bnb 4bit is an open-source language model by unsloth. Features: 1b LLM, VRAM: 1GB, Context: 32K, License: gemma, Quantized, LLM Explorer Score: 0.18.

Arxiv:1705.03551 Arxiv:1810.12440 Arxiv:1903.00161 Arxiv:1904.09728 Arxiv:1905.07830 Arxiv:1905.10044 Arxiv:1907.10641 Arxiv:1908.02660 Arxiv:1910.11856 Arxiv:1911.01547 Arxiv:1911.11641 Arxiv:2009.03300 Arxiv:2103.03874 Arxiv:2104.12756 Arxiv:2106.03193 Arxiv:2107.03374 Arxiv:2108.07732 Arxiv:2110.14168 Arxiv:2203.10244 Arxiv:2210.03057 Arxiv:2304.06364 Arxiv:2311.12022 Arxiv:2311.16502 Arxiv:2312.11805 Arxiv:2404.12390 Arxiv:2404.16816 Arxiv:2502.12404 Arxiv:2502.21228 4-bit 4bit Base model:google/gemma-3-1b-i... Base model:quantized:google/ge... Bitsandbytes Conversational Endpoints compatible Gemma Gemma3 Gemma3 text Google Image-text-to-text Q4 Q4 0 Quantized Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/gemma-3-1b-it-qat-bnb-4bit

Gemma 3 1B It Qat Bnb 4bit Parameters and Internals

LLM Name	Gemma 3 1B It Qat Bnb 4bit
Repository 🤗	https://huggingface.co/unsloth/gemma-3-1b-it-qat-bnb-4bit
Base Model(s)	...a 3 1B It Qat Q4 0 Unquantized google/gemma-3-1b-it-qat-q4_0-unquantized
Model Size	1b
Required VRAM	1 GB
Updated	2026-08-10
Maintainer	unsloth
Model Type	gemma3_text
Model Files	1.0 GB
Quantization Type	q4\|q4_0\|4bit
Model Architecture	Gemma3ForCausalLM
License	gemma
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 Qat Bnb 4bit 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

Best Alternatives to Gemma 3 1B It Qat Bnb 4bit

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 3 1B Hindi Instruct	32K / 2 GB	41	1
Gemma 3 1B It Qat 4bit	32K / 0.7 GB	34167	5
Gemma 3 1B It Unsloth Bnb 4bit	32K / 1 GB	15646	10
Gemma 3 1B It 4bit	32K / 0.7 GB	6681	4
Gemma 3 1B It Pretrain	32K / 2 GB	8	0
Gema4b	32K / 2 GB	14	0
Gemma 3 1B It Bnb 4bit	32K / 1 GB	1474	10
...a 3 1B It Qat Unsloth Bnb 4bit	32K / 1 GB	132	2
Gemma 3 1B It Qat Abliterated	32K / 4 GB	19	2
Gemma 3 1B Pt Unsloth Bnb 4bit	32K / 1 GB	644	4

Note: green Score (e.g. "73.2") means that the model is better than unsloth/gemma-3-1b-it-qat-bnb-4bit.