microsoft / PhiCookBook
This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmark…
☆3,187Updated 2 weeks ago
Alternatives and similar repositories for PhiCookBook:
Users that are interested in PhiCookBook are comparing it to the libraries listed below
- PyTorch native post-training library☆5,123Updated this week
- Generative AI extensions for onnxruntime☆693Updated this week
- [EMNLP'23, ACL'24] To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which ach…☆5,042Updated last month
- Everything about the SmolLM2 and SmolVLM family of models☆2,228Updated 3 weeks ago
- ☆2,729Updated this week
- One-click deploy of a Knowledge Graph powered RAG (GraphRAG) in Azure☆2,302Updated this week
- A framework for serving and evaluating LLM routers - save LLM costs without compromising quality☆3,848Updated 8 months ago
- ☆1,417Updated last month
- SGLang is a fast serving framework for large language models and vision language models.☆13,544Updated this week
- VILA is a family of state-of-the-art vision language models (VLMs) for diverse multimodal AI tasks across the edge, data center, and clou…☆3,156Updated last month
- Knowledge Agents and Management in the Cloud☆3,906Updated this week
- Composable building blocks to build Llama Apps☆7,714Updated this week
- LMDeploy is a toolkit for compressing, deploying, and serving LLMs.☆6,183Updated this week
- DataComp for Language Models☆1,279Updated last month
- Agent framework and applications built upon Qwen>=2.0, featuring Function Calling, Code Interpreter, RAG, and Chrome extension.☆6,613Updated last week
- Democratizing Reinforcement Learning for LLMs☆3,123Updated 2 weeks ago
- Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verifi…☆2,659Updated this week
- ☆2,915Updated 7 months ago
- AllenAI's post-training codebase☆2,913Updated this week
- Utilities intended for use with Llama models.☆6,858Updated this week
- Curated list of datasets and tools for post-training.☆2,968Updated 2 months ago
- mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding☆2,159Updated 4 months ago
- Ollama Python library☆7,374Updated this week
- Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs☆2,962Updated this week
- Code for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'☆1,493Updated 3 months ago
- LLaMA-Omni is a low-latency and high-quality end-to-end speech interaction model built upon Llama-3.1-8B-Instruct, aiming to achieve spee…☆2,899Updated last week
- Deploy high-performance AI models and inference pipelines on FastAPI with built-in batching, streaming and more.☆3,075Updated this week
- Prompty makes it easy to create, manage, debug, and evaluate LLM prompts for your AI applications. Prompty is an asset class and format …☆860Updated last week
- [CVPR 2025] Magma: A Foundation Model for Multimodal AI Agents☆1,604Updated this week
- Run PyTorch LLMs locally on servers, desktop and mobile☆3,572Updated this week