LightningLM 0.1V — Reference training pipeline for the LightningLM family. 2B dense seed → 5B MoE → 9B MoE → 120B sparse MoE through TurboQuant-PreTraining on a single eight-GPU node. Companion code for *Reversible Foundations*.
GitHub repository with 54 stars and 7 forks.
Language: Python
Topics: language-models, mixture-of-experts, pretraining, pytorch, quantized-training, reproducibility, sparse-moe, brahmic-tokenizer, lightninglm, reversible-models
2026-06-05: 54 stars and 7 forks.
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Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
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Automate QQ Farm tasks with AI vision: harvest, weed, water, plant, and steal crops with CV-based bot control
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Language: TypeScript
Topics: language-model, language-models, large-language-model, large-language-models, llm, llms
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Language: Rust
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Command-line interface for querying large language models
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