Projects with this topic
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🔧 🔗 https://github.com/meta-llama/llama-stackComposable building blocks to build Llama Apps
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🔧 🔗 https://github.com/meta-llama/llama-stack-client-kotlinKotlin SDK for Llama Stack
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llama server
🔧 🔗 https://github.com/maragudk/llama-server A simple layer on top of ghcr.io/ggml-org/llama.cpp:server to load GGUF models from assets.maragu.dev at runtime.Updated -
🔧 🔗 https://github.com/andrewkchan/yalmYet Another Language Model: LLM inference in C++/CUDA, no libraries except for I/O
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Dyad Mentor
🔧 🔗 https://github.com/dyad-sh/dyad-mentor Delightful AI coding mentor | Open-source, local, hackable |🌟 Star if it sparks delight!Updated -
🔧 🔗 https://github.com/meta-llama/llama-stack-appsAgentic components of the Llama Stack APIs
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🔧 🔗 https://github.com/meta-llama/llama-stack-client-swiftllama-stack-client-swift brings the inference and agents APIs of Llama Stack to iOS.
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https://github.com/janhq/nitro.git now: https://github.com/janhq/cortex.git Drop-in, local AI alternative to the OpenAI stack. Multi-engine (llama.cpp, TensorRT-LLM, ONNX). Powers
👋 JanUpdated -
https://github.com/homebrewltd/llama3-s Llama3.1 learns to Listen
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🔧 🔗 https://github.com/om-ai-lab/OmAgent Build multimodal language agents for fast prototype and productionUpdated -
🔧 🔗 https://github.com/meta-llama/llama3The official Meta Llama 3 GitHub site
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🔧 🔗 https://github.com/meta-llama/codellamaInference code for CodeLlama models
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https://github.com/mlc-ai/web-llm-chat Chat with AI large language models running natively in your browser. Enjoy private, server-free, seamless AI conversations.
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🔧 🔗 https://github.com/FoundationVision/LlamaGenAutoregressive Model Beats Diffusion: 🦙 Llama for Scalable Image Generation
🔗 arxiv.org/abs/2406.06525Updated -
🔧 🔗 https://github.com/FoundationVision/Groma[ECCV2024] Grounded Multimodal Large Language Model with Localized Visual Tokenization
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https://github.com/distantmagic/structured Extracts structured data from unstructured input. Programming language agnostic. Uses llama.cpp
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The first RAG retriever tuned particularly for code and code Llama
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