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

Gemma 2 27B It GGUF requires approximately 10.4 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 GGUF and how large is it?

Gemma 2 27B It GGUF is developed by gaianet, 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 It GGUF?

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

Gemma 2 27B It GGUF by gaianet — VRAM 10.4GB, 8K context

Name: Gemma 2 27B It GGUF
Author: gaianet

Gemma 2 27B It GGUF is an open-source language model by gaianet. Features: 27b LLM, VRAM: 10.4GB, Context: 8K, License: gemma, Quantized, LLM Explorer Score: 0.13.

Base model:google/gemma-2-27b-... Base model:quantized:google/ge... Conversational Fp16 Gemma2 Gguf Q2 Quantized Region:us

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

Gemma 2 27B It GGUF Parameters and Internals

Model Type

text generation

Additional Notes

Quantized with llama.cpp b3259.

Input Output

Input Format:

gemma-instruct

LLM Name	Gemma 2 27B It GGUF
Repository 🤗	https://huggingface.co/gaianet/gemma-2-27b-it-GGUF
Model Name	gemma-2-27b-it
Model Creator	Google
Base Model(s)	Gemma 2 27B It google/gemma-2-27b-it
Model Size	27b
Required VRAM	10.4 GB
Updated	2026-08-03
Maintainer	gaianet
Model Type	gemma2
Model Files	10.4 GB 14.5 GB 13.4 GB 12.2 GB 15.6 GB 16.6 GB 15.7 GB 18.9 GB 19.4 GB 18.9 GB 22.3 GB 28.9 GB 29.9 GB: 1-of-2 24.6 GB: 2-of-2
GGUF Quantization	Yes
Quantization Type	fp16\|gguf\|q2\|q4_k\|q5_k
Model Architecture	Gemma2ForCausalLM
License	gemma
Context Length	8192
Model Max Length	8192
Transformers Version	4.42.0.dev0
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Gemma 2 27B It GGUF 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 GGUF

Best Alternatives	Context / RAM	Downloads	Likes
...Horizon AI Korean Advanced 27B	8K / 54.7 GB	79	0
Gemma 2 27B It GGUF	8K / 10.4 GB	327	7
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 Bnb 4bit	8K / 15.8 GB	90	13

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