What are the hardware requirements for Gemma 2 27B Bnb 4bit?

Gemma 2 27B Bnb 4bit requires approximately 15.8 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 2 27B Bnb 4bit and how large is it?

Gemma 2 27B 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 2 27B Bnb 4bit?

Gemma 2 27B Bnb 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 2 27B Bnb 4bit by unsloth — VRAM 15.8GB, 8K context

Name: Gemma 2 27B Bnb 4bit
Author: unsloth

Gemma 2 27B Bnb 4bit is an open-source language model by unsloth. Features: 27b LLM, VRAM: 15.8GB, Context: 8K, License: gemma, Quantized, LLM Explorer Score: 0.13.

4-bit 4bit Bitsandbytes En Endpoints compatible Gemma Gemma2 Quantized Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/gemma-2-27b-bnb-4bit

Gemma 2 27B Bnb 4bit Parameters and Internals

Model Type

text generation

Use Cases

Areas:

research, commercial applications

Applications:

finetuning models

Primary Use Cases:

finetuning to improve performance or reduce memory usage

Input Output

Accepted Modalities:

text

Performance Tips:

Using the Unsoth method allows for faster processing and reduced memory usage.

LLM Name	Gemma 2 27B Bnb 4bit
Repository 🤗	https://huggingface.co/unsloth/gemma-2-27b-bnb-4bit
Model Size	27b
Required VRAM	15.8 GB
Updated	2026-08-05
Maintainer	unsloth
Model Type	gemma2
Model Files	7.9 GB: 1-of-2 7.9 GB: 2-of-2
Supported Languages	en
Quantization Type	4bit
Model Architecture	Gemma2ForCausalLM
License	gemma
Context Length	8192
Model Max Length	8192
Transformers Version	4.44.2
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Gemma 2 27B 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

Quantized Models of the Gemma 2 27B Bnb 4bit

Model	Likes	Downloads	VRAM
GEMMA2 27B NLI 16bit	0	23	54 GB

Best Alternatives to Gemma 2 27B Bnb 4bit

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 2 27B 8bit	8K / 28.8 GB	11	2
Gemma 2 27B 4bit	8K / 15.3 GB	9	0
Gemma2 Mixed Therapy Ft	8K / 15.8 GB	5	2
Gemma 2 27B It Bnb 4bit	8K / 15.8 GB	830	11
GEMMA2 27B NLI 16bit	8K / 54.7 GB	23	0
Gemma 2 27B It 4bit	8K / 15.3 GB	372	8
Gemma 2 27B It 8bit	8K / 28.8 GB	152	10
Gemma 2 27B It 4bit	8K / 15.8 GB	20	3
ATOMIS	32K / 66 GB	7	8
SystemGemma2 27B It	32K / 54.7 GB	96	1

Note: green Score (e.g. "73.2") means that the model is better than unsloth/gemma-2-27b-bnb-4bit.