What are the hardware requirements for Gemma 3 27B It Qat Bnb 4bit?

Gemma 3 27B It Qat Bnb 4bit requires approximately 16.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 3 27B It Qat Bnb 4bit and how large is it?

Gemma 3 27B It Qat Bnb 4bit is developed by unsloth, a model with 27b 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 27B It Qat Bnb 4bit?

Gemma 3 27B 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 27B It Qat Bnb 4bit by unsloth — VRAM 16.3GB

Name: Gemma 3 27B It Qat Bnb 4bit
Author: unsloth

Gemma 3 27B It Qat Bnb 4bit is an open-source language model by unsloth. Features: 27b LLM, VRAM: 16.3GB, 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-3-27b-... Base model:quantized:google/ge... Bitsandbytes Conversational Deploy:azure Endpoints compatible Gemma Gemma3 Google Image-text-to-text Q4 Q4 0 Quantized Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/gemma-3-27b-it-qat-bnb-4bit

Gemma 3 27B It Qat Bnb 4bit Parameters and Internals

LLM Name	Gemma 3 27B It Qat Bnb 4bit
Repository 🤗	https://huggingface.co/unsloth/gemma-3-27b-it-qat-bnb-4bit
Base Model(s)	google/gemma-3-27b-it-qat-q4_0-unquantized google/gemma-3-27b-it-qat-q4_0-unquantized
Model Size	27b
Required VRAM	16.3 GB
Updated	2026-08-10
Maintainer	unsloth
Model Type	gemma3
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 1.3 GB: 4-of-4
Quantization Type	q4\|q4_0\|4bit
Model Architecture	Gemma3ForConditionalGeneration
License	gemma
Model Max Length	131072
Transformers Version	4.51.3
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Torch Data Type	bfloat16

Rank the Gemma 3 27B It Qat Bnb 4bit 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

Best Alternatives to Gemma 3 27B It Qat Bnb 4bit

Best Alternatives	Context / RAM	Downloads	Likes
...emma 3 27B It Unsloth Bnb 4bit	0K / 20.2 GB	5525	19
Gemma 3 27B It Bnb 4bit	0K / 16.3 GB	2744	18
Gemma 3 27B It Qat	0K / 55.3 GB	24	3
Translategemma 27B It 8bit	0K / 28.8 GB	467	5
Translategemma 27B It 4bit	0K / 15.2 GB	190	3
Medgemma 27B It 8bit	0K / 31.2 GB	199	4
Medgemma 27B It 4bit	0K / 16.9 GB	132	4
Gemma 3 27B It 4bit	0K / 16.9 GB	1578	13
Gemma 3 27B It 4bit DWQ	0K / 16 GB	86	3
Gemma 3 27B It 8bit	0K / 31.2 GB	407	7

Note: green Score (e.g. "73.2") means that the model is better than unsloth/gemma-3-27b-it-qat-bnb-4bit.