Inference & Serving · 2025
BitNet b1.58 2B4T Technical Report
First open 2B-scale LLM trained natively in 1.58-bit ternary weights, matching full-precision peers of its size while cutting memory ~6x and running fast on CPU.
Editorial record
Plain-language summary
First open 2B-scale LLM trained natively in 1.58-bit ternary weights, matching full-precision peers of its size while cutting memory ~6x and running fast on CPU.
Knowledge graph
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Descendants
Depends onEvidence: Strongly supported
Attention Is All You Need
Builds on the inference serving lineage in the archive
freshness sweep 2026
Source record
Provenance
- Record ID
- P-610
- Record created
- 2026-07-13
- Last reviewed
- 2026-07-14
- Record version
- 2
- https://arxiv.org/abs/2504.12285
- arXiv:2504.12285
Citation caveat: Citation metadata is approximate and marked unverified in the source dataset.