What are the hardware requirements for Gemma 3 27B Experiment V2 Merge?

Gemma 3 27B Experiment V2 Merge requires approximately 106.1 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 3 27B Experiment V2 Merge and how large is it?

Gemma 3 27B Experiment V2 Merge is developed by ToastyPigeon, 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 Experiment V2 Merge?

Gemma 3 27B Experiment V2 Merge is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 3 27B Experiment V2 Merge by ToastyPigeon — VRAM 106.1GB, 128K context

Name: Gemma 3 27B Experiment V2 Merge
Author: ToastyPigeon

Gemma 3 27B Experiment V2 Merge is an open-source language model by ToastyPigeon. Features: 27b LLM, VRAM: 106.1GB, Context: 128K, Merged, LLM Explorer Score: 0.17.

Merged Model Arxiv:2203.05482 Base model:toastypigeon/gemma-... Base model:toastypigeon/gemma-... Conversational Endpoints compatible Gemma3 text Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ToastyPigeon/gemma-3-27b-experiment-v2-merge

Gemma 3 27B Experiment V2 Merge Parameters and Internals

LLM Name	Gemma 3 27B Experiment V2 Merge
Repository 🤗	https://huggingface.co/ToastyPigeon/gemma-3-27b-experiment-v2-merge
Base Model(s)	...a 3 27B Experiment Storyteller Gemma 3 27B Fujin ToastyPigeon/gemma-3-27b-experiment-storyteller ToastyPigeon/gemma-3-27b-fujin
Merged Model	Yes
Model Size	27b
Required VRAM	106.1 GB
Updated	2026-04-23
Maintainer	ToastyPigeon
Model Type	gemma3_text
Model Files	4.9 GB: 1-of-22 5.0 GB: 2-of-22 5.0 GB: 3-of-22 5.0 GB: 4-of-22 5.0 GB: 5-of-22 5.0 GB: 6-of-22 5.0 GB: 7-of-22 5.0 GB: 8-of-22 5.0 GB: 9-of-22 5.0 GB: 10-of-22 5.0 GB: 11-of-22 5.0 GB: 12-of-22 5.0 GB: 13-of-22 5.0 GB: 14-of-22 5.0 GB: 15-of-22 5.0 GB: 16-of-22 5.0 GB: 17-of-22 5.0 GB: 18-of-22 5.0 GB: 19-of-22 5.0 GB: 20-of-22 5.0 GB: 21-of-22 1.2 GB: 22-of-22
Model Architecture	Gemma3ForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.51.1
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	262145
Torch Data Type	float16

Rank the Gemma 3 27B Experiment V2 Merge 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 3 27B Experiment V2 Merge

Best Alternatives	Context / RAM	Downloads	Likes
Fanar 2 27B Instruct	128K / 54.4 GB	10917	11
YanoljaNEXT Rosetta 27B 2511	128K / 57.2 GB	33	35
Medgemma 27B Text Heretic Med	128K / 54.4 GB	50	8
Medgemma 27B Text It	128K / 54.4 GB	1217	8
Gemma 3 27B It Abliterated V2	128K / 108.9 GB	245	20
Psych Medgemma	128K / 54.4 GB	46	4
Gemma 3 40B	128K / 79.6 GB	0	1
Medgemma 27B Text It Bf16	128K / 56.8 GB	40	3
...a 3 27B Experiment Storyteller	128K / 54.4 GB	7	0
Gemma 3 27B Fujin	128K / 54.4 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than ToastyPigeon/gemma-3-27b-experiment-v2-merge.