What are the hardware requirements for Emo AI 3B?

Emo AI 3B requires approximately 5.1 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 Emo AI 3B and how large is it?

Emo AI 3B is developed by Klevin, a model with 2b 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 Emo AI 3B?

Emo AI 3B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Emo AI 3B by Klevin — VRAM 5.1GB, 8K context

Name: Emo AI 3B
Author: Klevin

Emo AI 3B is an open-source language model by Klevin. Features: 2b LLM, VRAM: 5.1GB, Context: 8K, License: apache-2.0, Quantized, LLM Explorer Score: 0.13.

4bit Base model:finetune:unsloth/ge... Base model:unsloth/gemma-2b-bn... En Endpoints compatible Gemma Pytorch Quantized Region:us Sft Sharded Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/Klevin/Emo-AI-3B

Emo AI 3B Parameters and Internals

Model Type

text-generation-inference

Additional Notes

This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.

Supported Languages

en (supported)

LLM Name	Emo AI 3B
Repository 🤗	https://huggingface.co/Klevin/Emo-AI-3B
Base Model(s)	Gemma 2B Bnb 4bit unsloth/gemma-2b-bnb-4bit
Model Size	2b
Required VRAM	5.1 GB
Updated	2026-07-22
Maintainer	Klevin
Model Type	gemma
Model Files	5.0 GB: 1-of-2 0.1 GB: 2-of-2
Supported Languages	en
Quantization Type	4bit
Model Architecture	GemmaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.41.2
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	float16

Rank the Emo AI 3B 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

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... 2.8 Gemma 2B HQQ 1bit Smashed	8K / 1.3 GB	5	0
... 2.8 Gemma 2B HQQ 2bit Smashed	8K / 1.6 GB	5	0
... 2.8 Gemma 2B HQQ 4bit Smashed	8K / 2.1 GB	5	0
Jenna V3 QGemma 2B	8K / 5.1 GB	6	0
Gemma 2B Sentiment	8K / 5.1 GB	13	0
Jenna V2	8K / 5.1 GB	6	0
... 2.8 Gemma 2B Bnb 4bit Smashed	8K / 2.2 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than Klevin/Emo-AI-3B.