mistral-7b

Fully-featured web interface for Ollama LLMs

Chat with your documents using local AI

turnkey self-hosted offline transcription and diarization service with llm summary

Toolkit for fine-tuning, ablating and unit-testing open-source LLMs.

Chrome Extension to Summarize or Chat with Web Pages/Local Documents Using locally running LLMs. Keep all of your data and conversations private. 🔐

An LLM interface (chat bot) implemented in pure Rust using HuggingFace/Candle over Axum Websockets, an SQLite Database, and a Leptos (Wasm) frontend packaged with Tauri!

Streamline Coding & Speed Up Dev Process. Your Own Personal Senior Engineer For Free!

Run AI workloads easily in a decentralized GPU network. https://www.youtube.com/watch?v=yQnB2Yxia4Y

Finetune mistral-7b-instruct for sentence embeddings

VerifAI initiative to build open-source easy-to-deploy generative question-answering engine that can reference and verify answers for correctness (using posteriori model)

Querypls🛠️: WebApp that Simplify SQL with Your Prompts. Transforming questions into SQL commands effortlessly.

Deploy a RESTful API Server to interact with Ollama and Stable Diffusion

Pull high-quality, efficient embeddings for PubMed, arXiv and Wikipedia from Huggingface and use for local LLM inference/Retrieval Augmented Generation (RAG)

Streamlit + Langchain + LlamaCPP + Mistral + Rag

DelphiMistralAI wrapper brings Mistral’s text-vision-audio models and agentic Conversations to Delphi, with chat, embeddings, Codestral codegen, fine-tuning, batching, moderation, async/await helpers and live request monitoring.

The AI-Powered Healthcare Intelligence Network is an AI-driven system offering disease prediction, drug recommendations, heart disease risk assessment, and an AI medical chatbot. Using ML, NLP, and LLMs, it provides accurate diagnoses, insights, and recommendations, enhancing healthcare accessibility, efficiency, and decision-making .

Fine-tuning open-source large and small instruct/chat language models (LLMs & SLMs) from the Hugging Face Model Hub using public datasets.

Fine tuning Mistral-7b with PEFT(Parameter Efficient Fine-Tuning) and LoRA(Low-Rank Adaptation) on Puffin Dataset(multi-turn conversations between GPT-4 and real humans)

Production-ready Chainlit RAG application with Pinecone pipeline offering all Groq and OpenAI Models, to chat with your documents.

Taxonomy Completion with Embedding Quantization and an LLM-based Pipeline: A Case Study in Computational Linguistics