๐
Official Website:
https://baar.uk/model/
๐
License:
Non-Commercial Only (Contact for Commercial Pricing)
๐ Model Overview
BAAR2-29M
is an ultra-compact multilingual model designed to enable real-time chat and generation under minimal hardware conditions. With just
29 million (29M) parameters
, it brings lightweight, interactive dialogue capabilities across
11 languages
to resource-constrained environments, embedded systems, and edge on-device platforms where standard LLMs cannot operate.
๐ Retrieval-Augmented Generation (RAG) & Edge AI
BAAR2-29M
is optimized for low-latency vector retrieval integration and context-based response generation, ensuring sub-second response times even under strict compute and memory budgets.
Non-Commercial Use Only (๋น์์ ์ ์ฐ๊ตฌยท๊ฐ์ธ ์ด์ฉ ํ์ )
:
This model is strictly provided for
non-commercial, research, and educational purposes only
. Any commercial use without a separate commercial agreement is strictly prohibited.
๋ณธ ๋ชจ๋ธ์
์์ ์ฐ๊ตฌ, ๊ต์ก ๋ฐ ๊ฐ์ธ ๋น์๋ฆฌ ๋ชฉ์ ์ ํํด์๋ง ๋ฌด๋ฃ๋ก ์ ๊ณต
๋ฉ๋๋ค. ์ฌ์ ํ๊ฐ ์๋ ์ผ์ฒด์ ์๋ฆฌ์ ์ด์ฉ์ ์๊ฒฉํ ๊ธ์ง๋ฉ๋๋ค.
Commercial Licensing & Inquiries for Revenue-Generating Entities (๋งค์ถ ๋ฐ์ ๊ธฐ์ ๋ฐ ์์ฉํ ๋์ ๋ฌธ์)
:
If your organization generates revenue, or if you plan to incorporate this model into commercial products, services, or paid APIs, you are required to purchase a commercial license.
Please contact us directly via email for enterprise licensing and integration support.
๊ธฐ์ /์ฌ์ ์ฒด์ ๋งค์ถ์ด ๋ฐ์ํ๊ณ ์๊ฑฐ๋, ๋ณธ ๋ชจ๋ธ์ ์์ฉ ์๋น์คยท์ ๋ฃ ์ ํยท์์ต ์ฐฝ์ถ ๋ชฉ์ ์ ์์คํ ์ ๋์ ํ๊ณ ์ ํ์๋ ๊ฒฝ์ฐ ๋ฐ๋์ ๋ณ๋์ ์์ฉ ๋ผ์ด์ ์ค๋ฅผ ์ทจ๋ํ์ ์ผ ํฉ๋๋ค.
๋์ ์กฐ๊ฑด ๋ฐ ๊ธฐ์ ์ฉ ๋ผ์ด์ ์ค ๋ฐ๊ธ์ ์๋ ์ด๋ฉ์ผ๋ก ๋ฌธ์ํด ์ฃผ์๊ธฐ ๋ฐ๋๋๋ค.
Pre-trained Model
: This model is a compact base pre-trained checkpoint. For specialized tasks, factual precision, or task completion, task-specific fine-tuning (SFT) or Retrieval-Augmented Generation (RAG) pipelines are recommended.
This project demonstrates practical competency in designing custom micro-scale architectures, end-to-end multi-language pre-training, and ultra-low-latency deployment under extreme compute constraints.
I am actively seeking
AI Engineering / Research opportunities, recruitment offers, and technical partnerships
.
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