What are the hardware requirements for Gemma 2 27B It FP8?

Gemma 2 27B It FP8 requires approximately 28.3 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 FP8 and how large is it?

Gemma 2 27B It FP8 is developed by nm-testing, 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 FP8?

Gemma 2 27B It FP8 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 FP8 by nm-testing — VRAM 28.3GB, 8K context

Name: Gemma 2 27B It FP8
Author: nm-testing

Gemma 2 27B It FP8 is an open-source language model by nm-testing. Features: 27b LLM, VRAM: 28.3GB, Context: 8K, LLM Explorer Score: 0.13.

Autotrain compatible Conversational Endpoints compatible Fp8 Gemma2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/nm-testing/gemma-2-27b-it-FP8

Gemma 2 27B It FP8 Parameters and Internals

LLM Name	Gemma 2 27B It FP8
Repository 🤗	https://huggingface.co/nm-testing/gemma-2-27b-it-FP8
Model Size	27b
Required VRAM	28.3 GB
Updated	2025-09-23
Maintainer	nm-testing
Model Type	gemma2
Model Files	4.8 GB: 1-of-6 4.9 GB: 2-of-6 4.9 GB: 3-of-6 4.9 GB: 4-of-6 4.9 GB: 5-of-6 3.9 GB: 6-of-6
Model Architecture	Gemma2ForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.42.1
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Gemma 2 27B It FP8 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 It FP8

Model	Likes	Downloads	VRAM
Gemma 2 27B It 8bit	10	152	28 GB

Best Alternatives to Gemma 2 27B It FP8

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
Gemma 2 27B It	8K / 54.7 GB	52166	6
...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

Note: green Score (e.g. "73.2") means that the model is better than nm-testing/gemma-2-27b-it-FP8.