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Loading/running every LLM with 4M ctx in 3 clicks

Hugston team demonstrates proof of concept for running any GGUF-converted LLM with a 4 million token context window on consumer hardware, testing models like LFM 350B, Qwen 0.8B, and 35B Q4 with speeds of 6-80 tps. Future plans aim for 10M context on 128GB RAM to enable terabyte-scale RAG.

SourceHacker News AIAuthor: trilogic
Loading/running every LLM with 4M ctx in 3 clicks
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Key points

  • Hugston shows proof of concept: any LLM in GGUF format can run with 4M context on consumer hardware.
  • Tested models include LFM 350B, Qwen 0.8B, and 35B Q4, achieving 6-80 tps.
  • Key utilities: context-unconstrained RAG for large documents, model-agnostic, session memory retention.
  • Next goal: 10M context on 128GB RAM for terabyte-scale RAG in seconds.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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