lucataco/ollama-qwen2.5-72b 🔢📝 → 📝
About
Ollama Qwen2.5 72b

Example Output
"Give me a short introduction to large language model"
Output
Certainly! A Large Language Model (LLM) is an advanced type of artificial intelligence designed to understand and generate human-like text based on the input it receives. These models are trained on vast amounts of data, typically including books, articles, websites, and other textual content from the internet. This extensive training allows LLMs to perform a wide range of tasks, such as answering questions, writing essays, generating code, translating languages, and more.
Key features of large language models include:
- Scalability: LLMs can process and generate text at scale, handling complex and nuanced tasks with high accuracy.
- Adaptability: They can adapt to various domains and contexts, making them versatile tools for different applications.
- Contextual Understanding: LLMs can understand context and maintain coherence over long sequences of text, which is crucial for tasks like conversation and storytelling.
- Generalization: They can apply their knowledge to new and unseen data, enabling them to handle a wide range of inputs effectively.
LLMs have become increasingly important in fields such as natural language processing (NLP), artificial intelligence research, and various industry applications, including customer service, content creation, and educational tools.
Performance Metrics
All Input Parameters
{ "top_p": 0.95, "prompt": "Give me a short introduction to large language model", "max_tokens": 512, "temperature": 0.7 }
Input Parameters
- top_p
- Controls diversity of the output. Lower values make the output more focused, higher values make it more diverse.
- prompt (required)
- Input text for the model
- max_tokens
- Maximum number of tokens to generate
- temperature
- Controls randomness. Lower values make the model more deterministic, higher values make it more random.
Output Schema
Output
Example Execution Logs
Total runtime: 11.018418788909912
Version Details
- Version ID
3bd45c9b5baae49397bceac44f99ccada63d9709a4611eddedd4ff592e4e678f
- Version Created
- September 22, 2024