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Artificial Intelligence
OpenWeb UI
A self-hosted, user-friendly interface for running large language models (LLMs) locally, enabling private and customizable AI support.
DeepSeek
Lightweight, open-source LLMs designed for efficient on-premise AI deployments with low resource usage.
LLaMA
Meta’s advanced LLM designed for scalable, high-performance reasoning, coding, and multilingual support. Available in multiple model sizes for research and enterprise use.
Gemma 3
Google’s next-generation open-weight LLM focused on reasoning, chat, and summarization with low-latency inference. Tuned for ethical AI.
Comparison
| Feature / Model | OpenWeb UI | DeepSeek | LLaMA | Gemma 3 |
|---|---|---|---|---|
| Type | Interface Framework | Lightweight LLM | Foundation Model | Foundation Model |
| Developer / Origin | Open Source Community | DeepSeek Project | Meta AI | Google DeepMind |
| Deployment | Self-hosted / Local | On-premise / Cloud Hybrid | Local / Cloud / Research | Cloud / Local Inference |
| Compute Efficiency | High (UI-focused) | Very High (optimized for low GPU use) | Moderate (depends on model size) | High (optimized inference) |
| Model Sizes | Supports any integrated LLM | Small–Medium models (7B–70B range) | 7B / 13B / 70B / 405B variants | 2B / 9B / 27B variants |
| Use Cases | LLM Management, Chat UIs, RAG setups | Edge AI, Private Assistants, R&D | Reasoning, Coding, Summarization | Chatbots, Writing, Data Analysis |
| Training Data | Depends on integrated LLM | Open / curated scientific & code data | Public + curated datasets | Ethical + mixed internet + human data |
| License | Open Source (MIT) | Apache 2.0 | Custom (Open-weight under Meta policy) | Open-weight (for research & use) |
| Integration Support | API / Docker / WebUI | API / Local deploy | PyTorch / Transformers / Ollama | Vertex AI / Ollama / Hugging Face |
| Best For | Teams running local AI dashboards | Efficient small-scale AI | Scalable enterprise AI | Conversational and creative AI |