Projects with this topic
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🔧 🔗 https://github.com/tensorzero/tensorzero TensorZero is an open-source stack for industrial-grade LLM applications. It unifies an LLM gateway, observability, optimization, evaluation, and experimentationUpdated -
🔧 🔗 https://github.com/sgl-project/sglangSGLang is a fast serving framework for large language models and vision language models.
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🔧 🔗 https://github.com/vllm-project/vllmA high-throughput and memory-efficient inference and serving engine for LLMs
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🔧 🔗 https://github.com/modelscope/ms-swiftSWIFT (Scalable lightWeight Infrastructure for Fine-Tuning) Use PEFT or Full-parameter to finetune 400+ LLMs or 100+ MLLMs.
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🔧 🔗 https://github.com/hiyouga/LLaMA-Factory Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)Updated -
🔧 🔗 https://github.com/meta-llama/llama-stackComposable building blocks to build Llama Apps
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https://github.com/InternLM/lmdeploy LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
🔗 lmdeploy.readthedocs.io/en/latest/Updated -
🔧 🔗 https://github.com/modelscope/data-juicer Making data higher-quality, juicier, and more digestible for foundation models!🍎 🍋 🌽 ➡️ ➡️ 🍸 🍹 🍷 为大模型提供更高质量、更丰富、更易”消化“的数据!Updated -
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/meta-llama/PurpleLlamaSet of tools to assess and improve LLM security.
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A multi-user ChatGPT for any LLMs and vector database. Unlimited documents, messages, and storage in one privacy-focused app. Now available as a desktop application with a built-in LLM!
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https://github.com/fishaudio/fish-speech Brand new TTS solution
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https://github.com/Mozilla-Ocho/llamafile Distribute and run LLMs with a single file. llamafile.ai
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🔧 🔗 https://github.com/meta-llama/llama-stack-client-nodeNodeJS library for Llama Stack
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🔧 🔗 https://github.com/meta-llama/llama-stack-client-pythonPython SDK for Llama Stack
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https://github.com/arcee-ai/mergekit Tools for merging pretrained large language models.
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🔧 🔗 https://github.com/meta-llama/llama-modelsUtilities intended for use with Llama models.
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🔧 🔗 https://github.com/meta-llama/llama-stack-client-kotlinKotlin SDK for Llama Stack
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🔧 🔗 https://github.com/meta-llama/llama-stack-appsAgentic components of the Llama Stack APIs
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🔧 🔗 https://github.com/andrewkchan/yalmYet Another Language Model: LLM inference in C++/CUDA, no libraries except for I/O
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