Today's LLM & Language Models: Fastest-Growing Projects — April 24, 2026
Today's the LLM & Language Models space, we're seeing a surge in interest around tools that make language models more accessible and user-friendly. Many of the fastest-growing repositories are focused on simplifying the process of working with large language models, whether it's by creating prompts that make them sound more human-like or building personal knowledge bases that leverage these models.
Arman-bd's guppylm repository is growing rapidly, with a growth score of 74.77 and over 3,000 stars. This ~9M parameter LLM talks like a small fish, offering a unique approach to language generation. Its popularity can be attributed to its novelty and the fact that it's sparking interest in more creative applications of language models.
Hexiecs' talk-normal repository has gained significant traction, with a growth score of 59.09 and over 1,400 stars. This system prompt removes AI slop, making any LLM talk like a normal person - a feature that many developers are eager to integrate into their own projects. Its popularity stems from the need for more human-like language generation in various applications.
Sdyckjq-lab's llm-wiki-skill repository is also gaining momentum, with a growth score of 55.68 and over 1,000 stars. This personal knowledge base construction skill supports multiple platforms and leverages Karpathy's llm-wiki methodology. Its growth can be attributed to the increasing interest in building personal knowledge bases that utilize large language models.
Bubblesslayyer-cmd's Awesome-GPT-Image-2-OpenAi repository has seen significant growth, with a score of 53.00 and over 88 stars. This definitive GPT Image 2 prompt vault offers curated prompts for pixel-perfect text, consistent characters, and professional-grade assets - making it an attractive resource for creators and developers working with OpenAI's next-gen model.
Chiefautism's privacy-parser repository has a growth score of 46.50 and over 72 stars. This reverse of OpenAI's Privacy Filter returns PII as structured spans instead of masking, providing a valuable tool for those working with sensitive data. Its growth can be attributed to the need for more transparent and flexible approaches to handling personal identifiable information.
Amitshekhariitbhu's llm-internals repository has seen steady growth, with a score of 35.17 and over 616 stars. This resource offers step-by-step explanations of LLM internals - from tokenization to attention to inference optimization. Its popularity stems from the growing interest in understanding the inner workings of large language models.
Kessler's gemma-gem repository has gained significant attention, with a growth score of 32.45 and over 834 stars. This tool runs Google's Gemma 4 model entirely on-device via WebGPU - no API keys, no cloud, no data leaving your machine. Its growth can be attributed to the increasing demand for more secure and private approaches to language model deployment.
Xoai's sage-wiki repository has seen notable growth, with a score of 32.27 and over 463 stars. This LLM-compiled personal knowledge base compiles papers, articles, and notes into a structured, interlinked wiki - making it an attractive tool for researchers and knowledge workers. Its popularity stems from the need for more efficient ways to organize and connect knowledge.
Lucasastorian's llmwiki repository has gained traction, with a growth score of 29.75 and over 647 stars. This open-source implementation of Karpathy's LLM Wiki allows users to upload documents and have it write their wiki - making it an attractive tool for those looking to leverage large language models in knowledge management.
Atomicmemory's llm-wiki-compiler repository has seen steady growth, with a score of 29.61 and over 717 stars. This knowledge compiler takes raw sources and outputs an interlinked wiki - inspired by Karpathy's LLM Wiki pattern. Its popularity stems from the increasing interest in building personal knowledge bases that utilize large language models.
Arman-bd's guppylm repository is growing rapidly, with a growth score of 74.77 and over 3,000 stars. This ~9M parameter LLM talks like a small fish, offering a unique approach to language generation. Its popularity can be attributed to its novelty and the fact that it's sparking interest in more creative applications of language models.
Hexiecs' talk-normal repository has gained significant traction, with a growth score of 59.09 and over 1,400 stars. This system prompt removes AI slop, making any LLM talk like a normal person - a feature that many developers are eager to integrate into their own projects. Its popularity stems from the need for more human-like language generation in various applications.
Sdyckjq-lab's llm-wiki-skill repository is also gaining momentum, with a growth score of 55.68 and over 1,000 stars. This personal knowledge base construction skill supports multiple platforms and leverages Karpathy's llm-wiki methodology. Its growth can be attributed to the increasing interest in building personal knowledge bases that utilize large language models.
Bubblesslayyer-cmd's Awesome-GPT-Image-2-OpenAi repository has seen significant growth, with a score of 53.00 and over 88 stars. This definitive GPT Image 2 prompt vault offers curated prompts for pixel-perfect text, consistent characters, and professional-grade assets - making it an attractive resource for creators and developers working with OpenAI's next-gen model.
Chiefautism's privacy-parser repository has a growth score of 46.50 and over 72 stars. This reverse of OpenAI's Privacy Filter returns PII as structured spans instead of masking, providing a valuable tool for those working with sensitive data. Its growth can be attributed to the need for more transparent and flexible approaches to handling personal identifiable information.
Amitshekhariitbhu's llm-internals repository has seen steady growth, with a score of 35.17 and over 616 stars. This resource offers step-by-step explanations of LLM internals - from tokenization to attention to inference optimization. Its popularity stems from the growing interest in understanding the inner workings of large language models.
Kessler's gemma-gem repository has gained significant attention, with a growth score of 32.45 and over 834 stars. This tool runs Google's Gemma 4 model entirely on-device via WebGPU - no API keys, no cloud, no data leaving your machine. Its growth can be attributed to the increasing demand for more secure and private approaches to language model deployment.
Xoai's sage-wiki repository has seen notable growth, with a score of 32.27 and over 463 stars. This LLM-compiled personal knowledge base compiles papers, articles, and notes into a structured, interlinked wiki - making it an attractive tool for researchers and knowledge workers. Its popularity stems from the need for more efficient ways to organize and connect knowledge.
Lucasastorian's llmwiki repository has gained traction, with a growth score of 29.75 and over 647 stars. This open-source implementation of Karpathy's LLM Wiki allows users to upload documents and have it write their wiki - making it an attractive tool for those looking to leverage large language models in knowledge management.
Atomicmemory's llm-wiki-compiler repository has seen steady growth, with a score of 29.61 and over 717 stars. This knowledge compiler takes raw sources and outputs an interlinked wiki - inspired by Karpathy's LLM Wiki pattern. Its popularity stems from the increasing interest in building personal knowledge bases that utilize large language models.