What are the hardware requirements for Gemma 3 27B It FP8 Dynamic?

Gemma 3 27B It FP8 Dynamic requires approximately 29.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 3 27B It FP8 Dynamic and how large is it?

Gemma 3 27B It FP8 Dynamic 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.

Where can I download or evaluate Gemma 3 27B It FP8 Dynamic?

Gemma 3 27B It FP8 Dynamic is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 3 27B It FP8 Dynamic by unsloth — VRAM 29.5GB

Name: Gemma 3 27B It FP8 Dynamic
Author: unsloth

Gemma 3 27B It FP8 Dynamic is an open-source language model by unsloth. Features: 27b LLM, VRAM: 29.5GB, License: gemma, LLM Explorer Score: 0.21.

Arxiv:1705.03551 Arxiv:1810.12440 Arxiv:1903.00161 Arxiv:1904.09728 Arxiv:1905.07830 Arxiv:1905.10044 Arxiv:1907.10641 Arxiv:1908.02660 Arxiv:1910.11856 Arxiv:1911.01547 Arxiv:1911.11641 Arxiv:2009.03300 Arxiv:2103.03874 Arxiv:2104.12756 Arxiv:2106.03193 Arxiv:2107.03374 Arxiv:2108.07732 Arxiv:2110.14168 Arxiv:2203.10244 Arxiv:2210.03057 Arxiv:2304.06364 Arxiv:2311.12022 Arxiv:2311.16502 Arxiv:2312.11805 Arxiv:2404.12390 Arxiv:2404.16816 Arxiv:2502.12404 Arxiv:2502.21228 Base model:google/gemma-3-27b-... Base model:quantized:google/ge... Compressed-tensors Conversational En Endpoints compatible Gemma Gemma3 Google Image-text-to-text Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/gemma-3-27b-it-FP8-Dynamic

Gemma 3 27B It FP8 Dynamic Parameters and Internals

LLM Name	Gemma 3 27B It FP8 Dynamic
Repository 🤗	https://huggingface.co/unsloth/gemma-3-27b-it-FP8-Dynamic
Base Model(s)	Gemma 3 27B It google/gemma-3-27b-it
Model Size	27b
Required VRAM	29.5 GB
Updated	2026-08-10
Maintainer	unsloth
Model Type	gemma3
Model Files	5.0 GB: 1-of-6 5.0 GB: 2-of-6 5.0 GB: 3-of-6 5.0 GB: 4-of-6 5.0 GB: 5-of-6 4.5 GB: 6-of-6
Supported Languages	en
Model Architecture	Gemma3ForConditionalGeneration
License	gemma
Model Max Length	131072
Transformers Version	4.57.1
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Gemma 3 27B It FP8 Dynamic 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 3 27B It FP8 Dynamic

Best Alternatives	Context / RAM	Downloads	Likes
Fallen Gemma3 27B V1	128K / 55.3 GB	90	49
Gemma 3 27B It	0K / 55.3 GB	769066	2006
Translategemma 27B It	0K / 55.3 GB	16445	390
MamayLM Gemma 3 27B IT V2.0	0K / 55.2 GB	1875	8
Gemma 3 27B It Quantized.w4a16	0K / 19.8 GB	329829	13
Gemma 3 27B It	0K / 55.3 GB	42790	16
Translategemma 27B It Bf16	0K / 54 GB	65	1
Gemma 3 27B It Abliterated	0K / 55.3 GB	2762	336
Gemma SEA LION V4 27B IT	0K / 55.2 GB	1221	24
Gemma 3 27B Pt	0K / 55.3 GB	8304	124

Note: green Score (e.g. "73.2") means that the model is better than unsloth/gemma-3-27b-it-FP8-Dynamic.