What are the hardware requirements for Gemma 2 27B It?

Gemma 2 27B It requires approximately 54.7 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 It and how large is it?

Gemma 2 27B It 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.

How does Gemma 2 27B It perform on standard benchmarks?

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

Gemma 2 27B It by unsloth — VRAM 54.7GB, 8K context

Name: Gemma 2 27B It
Author: unsloth

Gemma 2 27B It is an open-source language model by unsloth. Features: 27b LLM, VRAM: 54.7GB, Context: 8K, License: gemma, LLM Explorer Score: 0.32, ELO: 1289.

Conversational En Endpoints compatible Gemma Gemma2 Region:us Safetensors Sharded Tensorflow Unsloth

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

Gemma 2 27B It 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 It 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 It
Repository 🤗	https://huggingface.co/unsloth/gemma-2-27b-it
Model Size	27b
Required VRAM	54.7 GB
Updated	2026-08-07
Maintainer	unsloth
Model Type	gemma2
Model Files	4.7 GB: 1-of-12 4.9 GB: 2-of-12 4.9 GB: 3-of-12 5.0 GB: 4-of-12 4.9 GB: 5-of-12 4.9 GB: 6-of-12 5.0 GB: 7-of-12 4.9 GB: 8-of-12 4.9 GB: 9-of-12 5.0 GB: 10-of-12 4.9 GB: 11-of-12 0.7 GB: 12-of-12
Supported Languages	en
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 It 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 2 27B It

Best Alternatives	Context / RAM	Downloads	Likes
ATOMIS	32K / 66 GB	7	8
SystemGemma2 27B It	32K / 54.7 GB	96	1
SystemGemma2 27B It	32K / 54.7 GB	11	3
Gemma 2 27B It	8K / 54.7 GB	117753	568
...izon AI Korean Avengers V3 27B	8K / 54.8 GB	8	0
...izon AI Korean Avengers V2 27B	8K / 54.8 GB	8	0
Gemma2Slerp2 27B	8K / 54.8 GB	14	1
...s Horizon AI Korean Superb 27B	8K / 54.8 GB	8	2
GemmaStock1 27B	8K / 54.8 GB	8	0
Gemma2Slerp3 27B	8K / 54.8 GB	17	0

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