---
format: "aidr-story-markdown/v1"
id: "dea3f2aab79dd572284e636b5be16c14a9dab651c9b4fb6466f298f6e8f6ddee"
canonical_url: "https://aidr.today/dea3f2aa?lang=en"
title: "Sub-1-Bit LLM Compression via Latent Factorization"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
translation_fallback: null
fallback_fields: []
published_at: "2026-10-08T13:29:46.000Z"
category: "Open Source"
topics: ["llm","open-source"]
source_urls: ["https://github.com/SamsungLabs/LittleBit","https://news.ycombinator.com/item?id=50005608"]
summary: "SamsungLabs has released the official implementation of LittleBit (NeurIPS 2025) and its follow-up LittleBit-2 (ICML 2026) for sub-1-bit LLM compression via latent factorization."
---

# Sub\-1\-Bit LLM Compression via Latent Factorization

> [Open the canonical story](<https://aidr.today/dea3f2aa?lang=en>)

**Published:** 2026-10-08T13:29:46.000Z
**Category:** Open Source
**Topics:** llm, open\-source

## Summary

SamsungLabs has released the official implementation of LittleBit \(NeurIPS 2025\) and its follow\-up LittleBit\-2 \(ICML 2026\) for sub\-1\-bit LLM compression via latent factorization\.

## Sources

- [Story source](<https://github.com/SamsungLabs/LittleBit>)
- [Discussion](<https://news.ycombinator.com/item?id=50005608>)