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- 🚨🚨 Nebius AI Studio expands with vision models, new language models, embeddings, and LoRA
🚨🚨 Nebius AI Studio expands with vision models, new language models, embeddings, and LoRA
This update introduces vision-language models that enable your applications to understand and interact with visual content. From image captioning to product recognition, these models let you add a new dimension to your AI capabilities — perfect for holiday product catalogs or seasonal marketing campaigns.
Qwen2-VL-72B-Instruct: High-performance for complex visual tasks.
Qwen2-VL-7B-Instruct: Lightweight yet versatile.
LLaVA-v1.5-13b and LLaVA-v1.5-7b: Specialized in image captioning and visual Q&A.
We’ve broadened our language model offerings to meet diverse use cases — from complex reasoning to multilingual scenarios. Whether you’re refining product recommendations before the holiday rush or planning next year’s multilingual marketing campaigns, there’s a model that fits your needs.
Meta Llama-3.3-70B-Instruct: Access Meta’s latest state-of-the-art model featuring a 131K context window and support for 8 languages including English, German, French, Italian, Spanish, and Thai. Perfect for enterprise applications requiring top-tier performance.
dolphin-2.9.2-mixtral-8×22b: Built for conversational AI and coding tasks, featuring a 64K context window. Excels at following detailed instructions and handling complex dialogues. Perfect for chatbots and coding assistants.
Phi-3.5-MoE-instruct: Advanced mixture-of-experts model balancing high performance with efficient resource usage. Ideal for production applications requiring reliable performance.
Phi-3.5-mini-instruct: Compact version delivering quick responses for applications where speed is essential.
Qwen2.5-1.5B-Instruct: Fast, lightweight model perfect for testing and rapid prototyping.
Llama 3 Series (Med42-8B, 3.2 1B, 3.2 3B): Range of models for different needs, from specialized medical applications to general NLP tasks.
All models are available through our unified API, with both base and fast inference options to match your performance needs.
We’re adding three embedding models to strengthen your retrieval-augmented generation pipelines. Perfect for building knowledge bases, advanced semantic search engines or contextual chatbots — just in time to organize year-end data reviews.
BGE-ICL: A leading open-source embedding model.
e5-mistral-7b-instruct: Instruction-tuned for richer context.
bge-multilingual-gemma2: Multilingual support for global applications………