What are the hardware requirements for Continual Ai 2B?

Continual Ai 2B requires approximately 3.7 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 Continual Ai 2B and how large is it?

Continual Ai 2B is developed by Vir007, 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 Continual Ai 2B?

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

Continual Ai 2B by Vir007 — VRAM 3.7GB, 8K context

Name: Continual Ai 2B
Author: Vir007

Continual Ai 2B is an open-source language model by Vir007. Features: 2b LLM, VRAM: 3.7GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.33.

Code Continual-learning Conversational En Lifelong-learning Math Mistral Neuro-symbolic Reasoning Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Vir007/continual-ai-2b

Continual Ai 2B Parameters and Internals

LLM Name	Continual Ai 2B
Repository 🤗	https://huggingface.co/Vir007/continual-ai-2b
Model Size	2b
Required VRAM	3.7 GB
Updated	2026-09-23
Maintainer	Vir007
Model Type	mistral
Model Files	3.7 GB
Supported Languages	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	5.17.0
Tokenizer Class	TokenizersBackend
Padding Token	</s>
Vocabulary Size	32004

Rank the Continual Ai 2B capabilities

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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 Continual Ai 2B

Best Alternatives	Context / RAM	Downloads	Likes
Trained Model Sm 1 Merged	32K / 4 GB	0	0
Experimental3	8K / 4.8 GB	335	0
Kara Kumru V1.0 2B	8K / 4.8 GB	142	23
Kumru 2B	8K / 4.8 GB	1277	119
Mistral2B GPTQ	32K / 4 GB	6	0