What are the hardware requirements for EMO 2B V2?

EMO 2B V2 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 2B V2 and how large is it?

EMO 2B V2 is developed by OEvortex, 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 2B V2?

EMO 2B V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

EMO 2B V2 by OEvortex — VRAM 5.1GB, 8K context

Name: EMO 2B V2
Author: OEvortex

EMO 2B V2 is an open-source language model by OEvortex. Features: 2b LLM, VRAM: 5.1GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.12.

Conversational Dataset:oevortex/sentimentsynt... Emo Endpoints compatible Gemma Helpingai Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/OEvortex/EMO-2B-v2

EMO 2B V2 Parameters and Internals

Model Type

Emotionally Intelligent Conversational AI

Use Cases

Areas:

emotional intelligence, empathetic communication

Applications:

Mental health support chatbots, Emotional support companions, Personalized coaching and motivation, Narrative storytelling and interactive fiction, Customer service and support (for emotionally sensitive contexts)

Limitations:

Cannot replicate the depth and nuance of human emotional intelligence, Responses should not be considered a substitute for professional mental health support or counseling, May reflect biases present in its training data

LLM Name	EMO 2B V2
Repository 🤗	https://huggingface.co/OEvortex/EMO-2B-v2
Model Size	2b
Required VRAM	5.1 GB
Updated	2026-08-08
Maintainer	OEvortex
Model Type	gemma
Model Files	5.0 GB: 1-of-2 0.1 GB: 2-of-2
Model Architecture	GemmaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.1
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256002
Torch Data Type	float16

Rank the EMO 2B 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

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Gemma 1.1 2B It	8K / 5.1 GB	209209	173
Gemma 2B It	8K / 5 GB	16802	3
Gemma 1.1 2B It	8K / 5 GB	43	3
Gemma 2B It Peru Legal Es V2	8K / 5.1 GB	8	1
Codegemma 2B	8K / 5.1 GB	33091	101
Gita SastraGPT V1	8K / 5.1 GB	4	1
Caca Tinny 2B V3	8K / 5.1 GB	4	1
Pandas Tutor Gemma 2B	8K / 5.1 GB	6	1
Bge Reranker V2 Gemma	8K / 10 GB	76383	88
Gemma Qlora Customer Support	8K / 5.1 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than OEvortex/EMO-2B-v2.