A state-of-the-art general purpose MoE VLM ideal for chat, agentic and instruction based use cases.
Open Mixture of Experts LLM (230B, 10B active) for reasoning, coding, and tool-use/agent workflows
DeepSeek-V3.1: hybrid inference LLM with Think/Non-Think modes, stronger agents, 128K context, strict function calling.
Qwen3-Next Instruct blends hybrid attention, sparse MoE, and stability boosts for ultra-long context AI.
Follow-on version of Kimi-K2-Instruct with longer context window and enhanced reasoning capabilities
ByteDance open-source LLM with long-context, reasoning, and agentic intelligence.
Excels in agentic coding and browser use and supports 256K context, delivering top results.
High‑efficiency LLM with hybrid Transformer‑Mamba design, excelling in reasoning and agentic tasks.
State-of-the-art open mixture-of-experts model with strong reasoning, coding, and agentic capabilities
High performance reasoning model optimized for efficiency and edge deployment
Built for agentic workflows, this model excels in coding, instruction following, and function calling
Improve safety, security, and privacy of AI systems at build, deploy and run stages.
Automate and optimize the configuration of radio access network (RAN) parameters using agentic AI and a large language model (LLM)-driven framework.
Updated version of DeepSeek-R1 with enhanced reasoning, coding, math, and reduced hallucination.
Small language model fine-tuned for improved reasoning, coding, and instruction-following
Superior inference efficiency with highest accuracy for scientific and complex math reasoning, coding, tool calling, and instruction following.
Leading reasoning and agentic AI accuracy model for PC and edge.
Distilled version of Llama 3.1 8B using reasoning data generated by DeepSeek R1 for enhanced performance.
Distilled version of Qwen 2.5 32B using reasoning data generated by DeepSeek R1 for enhanced performance.
Distilled version of Qwen 2.5 14B using reasoning data generated by DeepSeek R1 for enhanced performance.
Distilled version of Qwen 2.5 7B using reasoning data generated by DeepSeek R1 for enhanced performance.
State-of-the-art, high-efficiency LLM excelling in reasoning, math, and coding.
Instruction tuned LLM achieving SoTA performance on reasoning, math and general knowledge capabilities
Chinese and English LLM targeting for language, coding, mathematics, reasoning, etc.
Trace and evaluate AI Agents with Weights & Biases.
Powerful mid-size code model with a 32K context length, excelling in coding in multiple languages.
Chinese and English LLM targeting for language, coding, mathematics, reasoning, etc.
Supports Chinese and English languages to handle tasks including chatbot, content generation, coding, and translation.
Support Chinese and English chat, coding, math, instruction following, solving quizzes
Advanced LLM for synthetic data generation, distillation, and inference for chatbots, coding, and domain-specific tasks.
