There are 5 repositories under phi-2 topic.
Sample to envision intelligent apps with Microsoft's Copilot stack for AI-infused product experiences.
Phi2-Chinese-0.2B 从0开始训练自己的Phi2中文小模型,支持接入langchain加载本地知识库做检索增强生成RAG。Training your own Phi2 small chat model from scratch.
Inferflow is an efficient and highly configurable inference engine for large language models (LLMs).
Examples of RAG using Llamaindex with local LLMs - Gemma, Mixtral 8x7B, Llama 2, Mistral 7B, Orca 2, Phi-2, Neural 7B
Examples of RAG using LangChain with local LLMs - Mixtral 8x7B, Llama 2, Mistral 7B, Orca 2, Phi-2, Neural 7B
Collection of Basic Prompt Templates for Various Chat LLMs (Chat LLM 的基础提示模板集合)
Test server code for Phi-2 model. support OpenAI API spec
Microsoft Phi 2 Streamlit App, deployed on HuggingFace Spaces is based on the Microsoft Phi 2 small language model (SLM) for text generation.
Build a Conversational AI System that can answer questions by retrieving the answers from a document.
Examples of RAG using Llamaindex with local LLMs in Linux - Gemma, Mixtral 8x7B, Llama 2, Mistral 7B, Orca 2, Phi-2, Neural 7B
Co:Here Inference configurations
Fine tune Phi 2 for persona grounded chat
Simple LLM Rest API using Rust, Warp and Candle. Dedicated for quantized version of either phi-2 ( default) , Mistral, or Llama. Work using CPU or CUDA
This repository contains a Python script for a Telegram bot that integrates with OpenAI's API or other compatible REST APIs (such as Jan https://jan.ai/). It's designed to provide an interactive AI experience through Telegram, using simple chat functionalities.
Code submission for the "Specializing Large Language Models for Telecom Networks by ITU AI/ML in 5G" challenge
This repository contains the source code used for finetuning the LLM phi-2 with several frameworks, such as DPO.
FineTune Microsoft Phi-2 with your own data
Flask API for generating text with the Phi-2 model from Hugging Face Transformers.
Colab notebook for finetuning Microsoft's Phi-2-3B LLM for solving mathematical word problems using QLoRA