What are the hardware requirements for My Brain V2?

My Brain V2 requires approximately 10.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed My Brain V2 and how large is it?

My Brain V2 is developed by wan-su, a model with 5.1b 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 My Brain V2?

My Brain V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

My Brain V2 by wan-su — VRAM 10.3GB

Name: My Brain V2
Author: wan-su

My Brain V2 is an open-source language model by wan-su. Features: 5.1b LLM, VRAM: 10.3GB, License: apache-2.0, LLM Explorer Score: 0.28.

Base model:finetune:wan-su/my-... Base model:wan-su/my-brain-v1 Conversational En Endpoints compatible Gemma4 Image-text-to-text Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/wan-su/my-brain-v2

My Brain V2 Parameters and Internals

LLM Name	My Brain V2
Repository 🤗	https://huggingface.co/wan-su/my-brain-v2
Base Model(s)	My Brain V1 wan-su/my-brain-v1
Model Size	5.1b
Required VRAM	10.3 GB
Updated	2026-09-30
Maintainer	wan-su
Model Type	gemma4
Model Files	1.4 GB: 1-of-5 4.7 GB: 2-of-5 1.6 GB: 3-of-5 1.6 GB: 4-of-5 1.0 GB: 5-of-5
Supported Languages	en
Model Architecture	Gemma4ForConditionalGeneration
License	apache-2.0
Model Max Length	131072
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Torch Data Type	bfloat16

Rank the My Brain V2 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 My Brain V2

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Gemma 4 E2B It	0K / 10.2 GB	3222438	654
Gemma 4 E2B	0K / 10.2 GB	79938	425
Gemma 4 E2B It Heretic	0K / 10.2 GB	1340	0
Gemma 4 E2B It	0K / 10.2 GB	69653	13
Gemma SEA LION V4.5 E2B IT	0K / 10.2 GB	2783	12
Artha V1 E2B	0K / 10.2 GB	13	1
KoGemma E2B	0K / 10.2 GB	197	0
Himalaya Gemma 4 E2b It	0K / 10.2 GB	709	14
Gemma 4 E2B	0K / 10.2 GB	2537	9
Chinse	0K / 10.3 GB	69	0

Note: green Score (e.g. "73.2") means that the model is better than wan-su/my-brain-v2.