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  sdk: gradio
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  # λχ Corp.
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- **Organização oficial da λχ (Lambda Chi)** — uma corporação angolana focada em inteligência artificial, robótica e soluções tecnológicas experimentais.
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- ## Sobre nós
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- **λχ Corp.** é a evolução da Lambda Indie. Fundada por [Marius Jabami](https://github.com/mariusjabami), representa a interseção entre engenharia simbólica, autonomia computacional e espiritualidade hacker.
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- A empresa desenvolve sistemas avançados com foco em:
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- - **Modelos de linguagem open-source** em português
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- - **Robôs inteligentes integrados com microcontroladores**
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- - **Soluções de IA leve para dispositivos móveis**
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- - **Automação, chatbots e aplicações educacionais**
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  ---
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- ## Projetos em destaque
 
 
 
 
 
 
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- | Projeto | Descrição |
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- |--------|-----------|
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- | [LambAI](https://huggingface.co/lambdaindie/lambdai) | Modelo leve baseado no TinyLlama, com quantização 8 bits + Low Rank |
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- | ΛCloud | Hub de acesso a jogos e recursos cloud otimizados para mobile |
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- | L0 | Modelo neural autoral escrito do zero em Python, sem bibliotecas externas |
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  ---
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- ## Missão
 
 
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- Descentralizar o acesso à inteligência artificial e à robótica, começando pela África Lusófona — com soluções enxutas, independentes e acessíveis a todos.
 
 
 
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  ---
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- ## Contato
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- - **E-mail oficial:** lxcorp.ai@gmail.com
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- - **GitHub:** [github.com/lxcorp](https://github.com/lxcorp)
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- - **Instagram / redes sociais:** @lxcorp (em breve)
 
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- **λχ. Código com alma. Máquinas com visão.**
 
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  # λχ Corp.
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+ AI research and development organization focused on efficient language models for Portuguese-speaking markets.
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+ ## About
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+ **λχ Corp.** develops lightweight, open-source AI solutions optimized for resource-constrained environments. Founded by [Marius Jabami](https://github.com/mariusjabami), we specialize in creating accessible machine learning tools for emerging markets.
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+ ### Core Focus Areas
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+ - **Language Models** — Efficient LLMs trained natively in Portuguese
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+ - **Mobile AI** — Inference-optimized models for low-end devices
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+ - **Open Research** — Transparent methodology and public datasets
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+ - **Educational Tools** — Accessible ML resources and documentation
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+ ## Featured Projects
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+ | Project | Description | Status |
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+ |---------|-------------|--------|
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+ | [lambdAI](https://huggingface.co/lxcorp/lambda-1v-1B) | 1.1B parameter reasoning model for Portuguese | Active |
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+ | [Synap-2b](https://huggingface.co/lxcorp/Synap-2b) | 2B conversational model | Active |
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+ | [WNL468M](https://huggingface.co/lxcorp/WNL468M) | 468M lightweight experimental model | Research |
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+ **Technical Stack:** PyTorch, Transformers, Quantization (8-bit), LoRA fine-tuning
 
 
 
 
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+ ## Mission
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+ Making AI development accessible in Portuguese-speaking Africa through:
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+ 1. **Computational Efficiency** — Models that run on entry-level hardware
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+ 2. **Native Training** — Portuguese-first approach, not translation-based
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+ 3. **Open Source** — Full code and methodology transparency
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+ 4. **Community Focus** — Documentation and knowledge sharing
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+ ## Resources
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+ - **Models:** [Hugging Face Organization](https://huggingface.co/lxcorp)
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+ - **Code:** [GitHub](https://github.com/lxcorp-ai)
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+ - **Contact:** lxcorp.ai@gmail.com
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+ - **Founder:** [Marius Jabami](https://linkedin.com/in/mariusjabami)
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+ **λχ Corp.** — Efficient models. Real impact.