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wiro/rag-chat-github

Instantly retrieve and analyze content from any GitHub repository. Select your LLM model, extract relevant information from codebases or documentation, and generate context-aware responses with ease!
Run time: 1 second
2703 runs
0

wiro/rag-chat-youtube

Extract insights directly from YouTube videos by simply providing a URL. Choose your LLM model, access video transcripts or summaries, and create contextually rich conversations effortlessly!
Run time: 1 second
1067 runs
0

wiro/rag-chat-website

Instantly retrieve and analyze content from any website URL. Select your LLM model, fetch key information from the page, and generate context-aware responses with ease!
Run time: 1 second
2896 runs
0

wiro/rag-chat

Wiro LLM Conversational RAG Tool – A unified interface for seamless RAG-based conversations. Select your preferred LLM model, retrieve relevant data from external sources, and generate context-aware responses effortlessly!
Run time: 1 second
2171 runs
0

wiro/chat

Wiro LLM Conversational chat script! Runs every LLM with one tool.
Run time: 1 second
2754 runs
0

wiro/wiroai-turkish-llm-9b

Meet with Wiro AI's Turkish Large Language Model (LLM)! A robust language model with more Turkish language and culture support!
Run time: 1 second
1680 runs
0

Qwen/Qwen2.5-14B-Instruct

Qwen2.5-14B-Instruct is a large language model by Alibaba’s Qwen team, optimized for instruction-following tasks with 14 billion parameters. It offers strong reasoning, multilingual capabilities, and efficient performance, making it suitable for chatbots, content creation, and various AI-driven applications.
Run time: 1 second
2848 runs
0

Qwen/Qwen2.5-32B-Instruct

Qwen2.5-32B-Instruct is a powerful large language model developed by Alibaba’s Qwen team, designed for instruction-following tasks with enhanced reasoning and natural language understanding capabilities. Optimized for efficiency and accuracy, it supports multi-turn conversations and complex queries, making it suitable for applications such as chatbots, content generation, and AI assistants.
Run time: 1 second
2283 runs
0

Qwen/Qwen2.5-3B-Instruct

Qwen/Qwen2.5-3B-Instruct is a powerful 3 billion parameter AI language model designed to deliver high-quality, human-like responses across a wide range of natural language processing tasks.
Run time: 1 second
2037 runs
0

Qwen/Qwen2.5-0.5B-Instruct

Qwen/Qwen2.5-0.5B-Instruct is a compact 500 million parameter AI language model optimized for generating human-like responses and assisting with various natural language understanding tasks.
Run time: 1 second
1241 runs
0

Qwen/Qwen2.5-1.5B-Instruct

Qwen/Qwen2.5-1.5B-Instruct is a 1.5 billion parameter AI language model designed to generate human-like responses based on user inputs.
Run time: 1 second
2322 runs
0

Qwen/Qwen2-7B-Instruct

Qwen2-7B-Instruct is a versatile large language model with 7 billion parameters, optimized for instruction-following tasks. It delivers high performance in natural language understanding, content generation, and complex reasoning, making it ideal for a wide range of AI-driven applications, from chatbots to educational tools.
Run time: 1 second
2524 runs
0

Qwen/Qwen2.5-Math-7B-Instruct

Qwen2.5-Math-7B-Instruct is a large language model with 7 billion parameters, specialized in advanced mathematical problem-solving and reasoning. It is fine-tuned for instruction-based tasks and excels in fields like algebra, calculus, and quantitative analysis, making it suitable for research, education, and technical applications.
Run time: 1 second
1255 runs
0

Qwen/Qwen2.5-Math-1.5B-Instruct

Qwen2.5-Math-1.5B-Instruct is a math-specialized large language model with 1.5 billion parameters, fine-tuned for solving complex mathematical problems and handling instruction-based tasks. It excels in areas like algebra, calculus, and numerical reasoning, making it ideal for educational tools and research applications.
Run time: 1 second
1274 runs
0

Qwen/Qwen2.5-Coder-7B-Instruct

Qwen2.5-Coder-7B-Instruct is a specialized large language model with 7 billion parameters, designed for code understanding and generation. Fine-tuned for instruction-based tasks, it supports multiple programming languages, making it ideal for coding assistance, code completion, and educational applications.
Run time: 1 second
1358 runs
0

Qwen/Qwen1.5-0.5B-Chat

Qwen1.5-0.5B-Chat is a lightweight conversational AI model with 500 million parameters, designed for efficient and interactive chat-based applications. Despite its smaller size, it offers fast performance and reliable natural language understanding, making it ideal for real-time AI interactions on resource-constrained systems.
Run time: 1 second
1478 runs
0

microsoft/phi-4

PHI-4 by Microsoft is an advanced large language model designed for precise natural language understanding and generation. It offers robust performance in complex conversational AI and NLP tasks, making it well-suited for enterprise and research applications.
Run time: 1 second
2366 runs
0

Qwen/Qwen2.5-Coder-32B-Instruct

Qwen2.5-Coder-32B-Instruct is a powerful code-focused large language model with 32 billion parameters, fine-tuned for coding and instruction-based tasks. It excels in code generation, code completion, and understanding complex programming instructions across multiple languages.
Run time: 1 second
2150 runs
0

Qwen/Qwen2.5-7B-Instruct

Qwen 2.5 is the large language model of Qwen, offering advanced natural language understanding and generation capabilities. It’s designed to handle complex tasks with high accuracy, making it ideal for diverse AI applications.
Run time: 1 second
1047 runs
0

wiro/wiroai-turkish-llm-8b

Meet with Wiro AI's Turkish Large Language Model (LLM)! A robust language model with more Turkish language and culture support!
Run time: 1 second
1116 runs
0

meta-llama/Llama-2-7b-chat-hf

Run time: 1 second
1196 runs
0

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