MVP of an idea using multiple local LLM models to simulate and play D&D
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Updated
Nov 3, 2024 - Python
MVP of an idea using multiple local LLM models to simulate and play D&D
Handy tool to measure the performance and efficiency of LLMs workloads.
AURORA (Artificial Unified Responsive Optimized Reasoning Agent) uses lobes and web research for RAG based memory and learning.
Ollama with Let's Encrypt Using Docker Compose
Local RAG researcher agent built using Langgraph, DeepSeek R1 and Ollama
Effortlessly rename files using local AI - No tokens, No API. Based on Ollama.
Issue report classification demo with SetFit and Ollama for NASA's Flight System software repositories
This repo brings numerous use cases from the Open Source Ollama
A compact LLM research tool for rapid experimentation, powered by open source!
Auto Install and Running Public API Service for Ollama with Any Model (library)
Приложение на Streamlit и Ollama позволяющее получать сжатый текст при помощи открытых LLM моделей
Run Ollama models anywhere easily
CLI tool for chatting with llms running via ollama written using modern python tooling. The tool focuses on enhancing nvim based coding workflow for free cuz author is a damn cheapskate.
Ollama Web UI is a simple yet powerful web-based interface for interacting with large language models. It offers chat history, voice commands, voice output, model download and management, conversation saving, terminal access, multi-model chat, and more—all in one streamlined platform.
End To End Gen AI App Using DeepSeek-R1 With Langchain And Ollama. Released in January 2025, this model is based on DeepSeek-V3 and is focused on advanced reasoning tasks directly competing with OpenAI's o1 model in performance, while maintaining a significantly lower cost structure
Welcome to the Llama-3 Chatbot project! This chatbot allows you to interact with the Llama-3 model via a simple command-line interface. Type your messages, and receive responses from Llama-3.
Ollamate is an AI assistant using Ollama to run your favorite local LLMs.
Built with Streamlit, LangChain, and Ollama. Helps with code generation, debugging, and documentation using DeepSeek models an AI programmer.
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