Latent Context Language Models compress context tokens up to 16x, cutting time-to-first-token by 8.8x on the RULER benchmark
The models are open-sourced on GitHub and Hugging Face.
Story Brief
The models are open-sourced on GitHub and Hugging Face.
Related Stories
3 linkedEnd-to-End Context Compression at ScaleLong-context language model inference is bottlenecked by memory, as the KV cache grows with context length. Recent techniques to compress the KV cache fall short: they either degrade model quality...28d agoarXiv.org
GitHub - LeonLixyz/LCLM: latent context language modelslatent context language models. Contribute to LeonLixyz/LCLM development by creating an account on GitHub.28d agoGitHublatent-context (Latent Context Language Model)Org profile for Latent Context Language Model on Hugging Face, the AI community building the future.28d agohuggingface
GitHub - LeonLixyz/LCLM: latent context language modelslatent context language models. Contribute to LeonLixyz/LCLM development by creating an account on GitHub.28d agoGitHublatent-context (Latent Context Language Model)Org profile for Latent Context Language Model on Hugging Face, the AI community building the future.28d agohuggingface
