Automated script to convert Huggingface and GGUF models to rkllm format for running on Rockchip NPU
- Updated
Nov 11, 2024 - Python
Automated script to convert Huggingface and GGUF models to rkllm format for running on Rockchip NPU
⚓ Minato: A Unified File I/O Library for Python
An inprogress tool to speed up your desktop workflow, with the ability to upload from your desktop without the need for Jupyter or CLI.
一个从 Hugging Face 镜像站点快速下载模型和数据集的命令行工具。
Dolphin 3.0 🐬: Versatile AI for coding, math, and more
Using paraphrase(text2text generation) model from huggingface in Python desktop app
Budget Buddy is a finance chatbot built using Chainlit and the LLaMA language model. It analyzes PDF documents, such as bank statements and budget reports, to provide personalized financial advice and insights. The chatbot is integrated with Hugging Face for model management, offering an interactive way to manage personal finances.
Chat Response Documentation
A simple CLI wrapper for HuggingFace Hub to enable more fine-grained control when downloading and uploading files.
Analyze GitHub repository based on pre-trained model, then generate related topics('#').
Hugging Face Plugins for FiftyOne
Chat with LLM is a user-friendly Streamlit app that allows real-time interaction with various large language models (LLMs) via Hugging Face's API. Users can select different models, adjust settings such as temperature and token limits, and engage in dynamic conversations with AI.
Gemma 3: Google's multimodal, multilingual, long context LLM.
Huggingface_Connection-Testscript
An app and an SDK to anonymize large PDF files
Optimized CPU Implementation of Llama2-LLM
This app is a Gradio ChatInterface demo that wraps the model client logic in a reusable Python class for portability and maintainability. This is a simple chatbot that uses the Huggingface_hub InferenceClient to respond to the user's message. It is a working example: a building block to building complex extensive RAG-KG in the pipeline.
Qwen2.5-Coder: Family of LLMs excels in code, debugging, etc
Resume-Corrector is an application which will help you improve your resume based on Job Description of any Company with the help of LLM.
Voice message to text (Whisper) + local LLM answers (Mistral-7B). Works offline, 100+ languages. Perfect for interviews & automated Q&A.
Add a description, image, and links to the huggingface-hub topic page so that developers can more easily learn about it.
To associate your repository with the huggingface-hub topic, visit your repo's landing page and select "manage topics."