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
63tiny_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
15fragment-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
3NBCE. Naive Bayes-based Context Extension
2dell-r730-ipmi-hacks. Scripts to make the Dell R730 behave properly with Nvidia Pascal P40 and other datacenter GPUs
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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