Fine-tuned Llama 3.1 70B model for code generation, summarization, and multi-language tasks.
Advanced dense LLM with state-of-the-art reasoning, knowledge and coding capabilities.
State-of-the-art LLM that answers OpenUSD knowledge queries and generates USD-Python code.
Model for writing and interacting with code across a wide range of programming languages and tasks.
Advanced LLM for synthetic data generation, distillation, and inference for chatbots, coding, and domain-specific tasks.
Powers complex conversations with superior contextual understanding, reasoning and text generation.
Advanced state-of-the-art model with language understanding, superior reasoning, and text generation.
Most advanced language model for reasoning, code, multilingual tasks; runs on a single GPU.
Powerful coding model offering advanced capabilities in code generation, completion, and infilling
Advanced programming model for code completion, summarization, and generation
Advanced programming model for code completion, summarization, and generation
Cutting-edge text generation model text understanding, transformation, and code generation.
Cutting-edge text generation model text understanding, transformation, and code generation.
Model for writing and interacting with code across a wide range of programming languages and tasks.
Advanced programming model for code generation, completion, reasoning, and instruction following.
Software programming LLM for code generation, completion, explanation, and multi-turn conversion.
Software programming LLM for code generation, completion, explanation, and multi-turn conversion.
Excels in complex multilingual reasoning tasks, including text understanding, and code generation.
Cutting-edge model built on Google's Gemma-7B specialized for code generation and code completion.
Cutting-edge text generation model text understanding, transformation, and code generation.
LLM capable of generating code from natural language and vice versa.
Cutting-edge large language AI model capable of generating text and code in response to prompts.