What are the hardware requirements for Gemma 2 27B 8bit?

Gemma 2 27B 8bit requires approximately 28.8 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 8bit and how large is it?

Gemma 2 27B 8bit is developed by mlx-community, a model with 27b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Gemma 2 27B 8bit perform on standard benchmarks?

Gemma 2 27B 8bit has the following published scores: LMSYS ELO 1289. Compare against reference models on this page or on the LLM Explorer leaderboards.

Gemma 2 27B 8bit by mlx-community — VRAM 28.8GB, 8K context

Name: Gemma 2 27B 8bit
Author: mlx-community

Gemma 2 27B 8bit is an open-source language model by mlx-community. Features: 27b LLM, VRAM: 28.8GB, Context: 8K, License: gemma, Quantized, LLM Explorer Score: 0.26, ELO: 1289.

8bit Endpoints compatible Gemma2 Mlx Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/gemma-2-27b-8bit

Gemma 2 27B 8bit Benchmarks

LMSys ELO 1289 vs 1272 (so35) 1.3%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Gemma 2 27B 8bit Parameters and Internals

LLM Name	Gemma 2 27B 8bit
Repository 🤗	https://huggingface.co/mlx-community/gemma-2-27b-8bit
Base Model(s)	Gemma 2 27B It google/gemma-2-27b-it
Model Size	27b
Required VRAM	28.8 GB
Updated	2026-07-29
Maintainer	mlx-community
Model Type	gemma2
Model Files	5.3 GB: 1-of-6 5.2 GB: 2-of-6 5.2 GB: 3-of-6 5.3 GB: 4-of-6 5.2 GB: 5-of-6 2.6 GB: 6-of-6
Quantization Type	8bit
Model Architecture	Gemma2ForCausalLM
License	gemma
Context Length	8192
Model Max Length	8192
Transformers Version	4.42.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	float32

Rank the Gemma 2 27B 8bit 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 2 27B 8bit

Best Alternatives	Context / RAM	Downloads	Likes
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 Bnb 4bit	8K / 15.8 GB	90	13
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