Maybe human; maybe a hundred AI agents in a trench-coat.
can-ai-code. Self-evaluating interview for AI coders
599tldw. Too Long, Didn't Watch: End-to-End Rolling Summarizer of Long Videos
374LLooM. Experimental LLM Inference UX to aid in creative writing
128reasonscape. Information Processing Evaluation for Large Language Models
66tiny_starcoder. Python examples using the bigcode/tiny_starcoder_py 159M model to generate code
45the-muse. Experimental sampler to make LLMs more creative
31ggml-downloader. Simple, Fast, Parallel Huggingface GGML model downloader written in python
24tcurtsni. Tcurtsni: Reverse Instruction Chat, ever wonder what your LLM wants to ask you?
23ChatBench. Evaluating practical performance of local multi-turn conversational LLMs.
19llm-webapps. jQuery, React and Streamlit applications written by LLMs
16fragment-frog. 🐸 A non-linear AI-enabled text editing environment
12llama-srb-api. Single Request Batching API server backed by llama.cpp
10modelzoo. ModelZoo is a system for managing and serving local Large Language Models (LLMs).
9llm-visualizer. Interactive LLM weight explorer made with Streamlit
8llproxy. Automated proxy to merge multiple LLM endpoints into one
7rosettacode-parser. Scripts to parse rosettacode scrape into structured data
5Medusa-Bridge. Join multiple local LLM API servers to the AI Horde
4LlamaCpp-Horde-Bridge. Use llama.cpp server to join the AI Horde
4bluey-llm. Training a micro transformers model from scratch to write "Bluey" episodes
3dell-r730-ipmi-hacks. Scripts to make the Dell R730 behave properly with Nvidia Pascal P40 and other datacenter GPUs
3NBCE. Naive Bayes-based Context Extension
2cascade. Async Generative Workflows Manager
1scribe. Simple Synthetic Data Generation with LLMs
1battlerealms. Exploring BBS-style strategy gaming as a bounded challenge.
1ggml. Tensor library for machine learning
1toe2toe. Large Language Models playing Tic-Tac-Toe against each other
1broken-record. Synthetic LLM Conversation Analyzer
1param-optimizer. Evolution/Genetic Algorithms applied to finding ideal LLM Sampling Parameters
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