Best LLM Open Source Repos
The collection centers on practical and research-oriented LLM resources, with a strong emphasis on open-source tools, interoperability, and interpretability. The main themes include multi-LLM orchestration and APIs (calling diverse providers like OpenAI, Azure, Bedrock, Cohere, HuggingFace, and others), LLM interpretability, hands-on learning and deployment, and foundational education for building AI applications. Resource types span curated lists, tutorials, code repositories, and experiential materials that teach designing, training, deploying, and evaluating LLM-based systems. The focus areas cover cross-provider integration, real-time financial advisory demos, interpretability frameworks, and approachable introductions to LLM concepts (LLM101n) and storytelling applications. Overall, the collection aims to empower developers and researchers to experiment with, compare, and implement open-source LLM solutions, while prioritizing accessibility, experimentation, and practical implementation. 3 sources collected on Markwise, last updated June 6, 2025.
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github.com ยท Article ยท Added Dec 28, 2023
๐ฆ ๐๐ฒ๐ฎ๐ฟ๐ป about ๐๐๐ ๐, ๐๐๐ ๐ข๐ฝ๐, and ๐๐ฒ๐ฐ๐๐ผ๐ฟ ๐๐๐ for free by designing, training, and deploying a real-time financial advisor LLM system ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + ๐ท๐ช๐ฅ๐ฆ๐ฐ & ๐ณ๐ฆ๐ข๐ฅ๐ช๐ฏ๐จ ๐ฎ๐ข๐ต๐ฆ๐ณ๐ช๐ข๐ญ๐ด - GitHub - iusztinpaul/hands-on-llms: ๐ฆ ๐๐ฒ๐ฎ๐ฟ๐ป about ๐๐๐ ๐, ๐๐๐ ๐ข๐ฝ๐, and ๐๐ฒ๐ฐ๐๐ผ๐ฟ ๐๐๐ for free by designing, training, and deploying a real-timeโฆ
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github.com ยท Article ยท Added Dec 13, 2023
Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs) - GitHub - BerriAI/litellm: Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)
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github.com ยท Article ยท Added Dec 24, 2023
A curated list of Large Language Model (LLM) Interpretability resources. - GitHub - JShollaj/awesome-llm-interpretability: A curated list of Large Language Model (LLM) Interpretability resources.
View the full collection on Markwise