What are the hardware requirements for Vllm Translategemma 27B It?

Vllm Translategemma 27B It requires approximately 55.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Vllm Translategemma 27B It and how large is it?

Vllm Translategemma 27B It is developed by Infomaniak-AI, 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 Vllm Translategemma 27B It?

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

Vllm Translategemma 27B It by Infomaniak-AI — VRAM 55.3GB

Name: Vllm Translategemma 27B It
Author: Infomaniak-AI

Vllm Translategemma 27B It is an open-source language model by Infomaniak-AI. Features: 27b LLM, VRAM: 55.3GB, License: gemma, LLM Explorer Score: 0.25.

Arxiv:2503.19786 Arxiv:2601.09012 Conversational Endpoints compatible Gemma3 Image-text-to-text Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Infomaniak-AI/vllm-translategemma-27b-it

Vllm Translategemma 27B It Parameters and Internals

LLM Name	Vllm Translategemma 27B It
Repository 🤗	https://huggingface.co/Infomaniak-AI/vllm-translategemma-27b-it
Model Size	27b
Required VRAM	55.3 GB
Updated	2026-10-11
Maintainer	Infomaniak-AI
Model Type	gemma3
Model Files	4.8 GB: 1-of-12 5.0 GB: 2-of-12 5.0 GB: 3-of-12 5.0 GB: 4-of-12 5.0 GB: 5-of-12 5.0 GB: 6-of-12 5.0 GB: 7-of-12 5.0 GB: 8-of-12 5.0 GB: 9-of-12 5.0 GB: 10-of-12 5.0 GB: 11-of-12 0.5 GB: 12-of-12
Model Architecture	Gemma3ForConditionalGeneration
License	gemma
Transformers Version	4.57.3
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Vllm Translategemma 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 Vllm Translategemma 27B It

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
Gemma 3 27B It	0K / 55.3 GB	42790	16
Translategemma 27B It	0K / 55.3 GB	16445	390
SAEVerbalizer 27B	0K / 55.3 GB	445	0
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
Medgemma 27B It Heretic	0K / 55.3 GB	14	0
Translategemma 27B It Bf16	0K / 54 GB	65	1
Gemma 3 27B It Abliterated	0K / 55.3 GB	2762	336

Note: green Score (e.g. "73.2") means that the model is better than Infomaniak-AI/vllm-translategemma-27b-it.