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: 0.14.

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 Benchmarks

LLME Score: 0.13994

^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 FP8 (nm-testing/gemma-2-27b-it-FP8)

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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

Quantized Models of the Gemma 2 27B It FP8

Model	Likes	Downloads	VRAM
Gemma 2 27B It 8bit	10	170	28 GB

Best Alternatives to Gemma 2 27B It FP8

Best Alternatives	Context / RAM	Downloads	Likes
ATOMIS	32K / 66 GB	9	5
SystemGemma2 27B It	32K / 54.7 GB	96	1
SystemGemma2 27B It	32K / 54.7 GB	15	3
Gemma 2 27B It	8K / 54.7 GB	43362	565
Gemma 2 27B It	8K / 54.7 GB	1168	6
...izon AI Korean Avengers V3 27B	8K / 54.8 GB	10	0
...izon AI Korean Avengers V2 27B	8K / 54.8 GB	6	0
Gemma2Slerp2 27B	8K / 54.8 GB	4	1
GemmaStock1 27B	8K / 54.8 GB	15	0
...s Horizon AI Korean Superb 27B	8K / 54.8 GB	10	2

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

Rank the Gemma 2 27B It FP8 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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

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Gemma 2 27B It FP8 by nm-testing