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BitNet
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microsoft / BitNet

BitNet

Official inference framework for 1-bit LLMs

16Distinct people
21Mentions
0Explicit recommenders
41.6KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Official inference framework for 1-bit LLMs

GitHub

Where it is used

No documented product use was verified in the last source check.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 2:04:58 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by month21 dated mentions

Observed mentions: 2024-10-18 09:10:36 UTC to 2026-08-20 19:03:30 UTC.

02462024-10-01 00:00:00 UTC to 2024-11-01 00:00:00 UTC (exclusive): 6 mentions; 1 submissions, 5 commentsOct 20242024-11-01 00:00:00 UTC to 2024-12-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2024-12-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-01 00:00:00 UTC to 2025-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-02-01 00:00:00 UTC to 2025-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-03-01 00:00:00 UTC to 2025-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-01 00:00:00 UTC to 2025-05-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025-05-01 00:00:00 UTC to 2025-06-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2025-06-01 00:00:00 UTC to 2025-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-07-01 00:00:00 UTC to 2025-08-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025-08-01 00:00:00 UTC to 2025-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-09-01 00:00:00 UTC to 2025-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsSep 20252025-10-01 00:00:00 UTC to 2025-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-11-01 00:00:00 UTC to 2025-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-12-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-01 00:00:00 UTC to 2026-02-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments2026-02-01 00:00:00 UTC to 2026-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-01 00:00:00 UTC to 2026-04-01 00:00:00 UTC (exclusive): 5 mentions; 2 submissions, 3 comments2026-04-01 00:00:00 UTC to 2026-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-05-01 00:00:00 UTC to 2026-06-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2026-06-01 00:00:00 UTC to 2026-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-07-01 00:00:00 UTC to 2026-08-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2026-08-01 00:00:00 UTC to 2026-09-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsAug 2026

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Oct 20242024-10-01 00:00:00 UTC2024-11-01 00:00:00 UTC615
Nov 20242024-11-01 00:00:00 UTC2024-12-01 00:00:00 UTC202
Dec 20242024-12-01 00:00:00 UTC2025-01-01 00:00:00 UTC000
Jan 20252025-01-01 00:00:00 UTC2025-02-01 00:00:00 UTC000
Feb 20252025-02-01 00:00:00 UTC2025-03-01 00:00:00 UTC000
Mar 20252025-03-01 00:00:00 UTC2025-04-01 00:00:00 UTC000
Apr 20252025-04-01 00:00:00 UTC2025-05-01 00:00:00 UTC101
May 20252025-05-01 00:00:00 UTC2025-06-01 00:00:00 UTC110
Jun 20252025-06-01 00:00:00 UTC2025-07-01 00:00:00 UTC000
Jul 20252025-07-01 00:00:00 UTC2025-08-01 00:00:00 UTC101
Aug 20252025-08-01 00:00:00 UTC2025-09-01 00:00:00 UTC000
Sep 20252025-09-01 00:00:00 UTC2025-10-01 00:00:00 UTC000
Oct 20252025-10-01 00:00:00 UTC2025-11-01 00:00:00 UTC000
Nov 20252025-11-01 00:00:00 UTC2025-12-01 00:00:00 UTC000
Dec 20252025-12-01 00:00:00 UTC2026-01-01 00:00:00 UTC000
Jan 20262026-01-01 00:00:00 UTC2026-02-01 00:00:00 UTC211
Feb 20262026-02-01 00:00:00 UTC2026-03-01 00:00:00 UTC000
Mar 20262026-03-01 00:00:00 UTC2026-04-01 00:00:00 UTC523
Apr 20262026-04-01 00:00:00 UTC2026-05-01 00:00:00 UTC000
May 20262026-05-01 00:00:00 UTC2026-06-01 00:00:00 UTC101
Jun 20262026-06-01 00:00:00 UTC2026-07-01 00:00:00 UTC000
Jul 20262026-07-01 00:00:00 UTC2026-08-01 00:00:00 UTC101
Aug 20262026-08-01 00:00:00 UTC2026-09-01 00:00:00 UTC101

What Hacker News says

1 sources
This article (comparing the x86 AVX-512F instruction VPTERNLOGD to Amiga's Blitter) is not the end of the discussion for this instruction, it's actually the beginning... See, VPTERNLOGD is a ternary bitwise instruction. In theory, that means that it could (in theory, temporarily ignoring other factors like streaming, parallelism, memory access speed, etc.) replace the Matrix Multiply (aka "MatMul") component of LLM's, if, if and only if the weights in an LLM are changed to ternary (-1,0,1)... Matrix Multiply is at the core of all GPU's and AI accelerators -- so alternatives to it, such as VPTERNLOGD (especially on older/cheaper hardware, as x86 AVX-512F apparently dates back to 2016), as well as Ternary LLM's -- may be worth a little investigation... Yes, ternary LLM's do come with their own set of problems(!) -- but as a strictly-for-int
Read the rest
ellectual-curiosity x86 instruction, I think that VPTERNLOGD is pretty interesting... Related: "NativeTernary: A Self-Delimiting Binary Encoding with Unary Run-Length Hierarchy Markers for Ternary Neural Network Weights, Structured Data, and General Computing Infrastructure": https://arxiv.org/pdf/2604.03336 VPTERNLOGD/VPTERNLOGQ — Bitwise Ternary Logic https://www.felixcloutier.com/x86/vpternlogd:vpternlogq Microsoft BitNet - Official inference framework for 1-bit LLMs https://github.com/microsoft/bitnet Ternary Mirror-symmetrical Arithmetic And Its Application To Digital Signal Processing by Alexey Stakhov (related: Nikolay Brousentsov, the "ternary principle" aka "Brousentsov's principles"): https://computeroptics.ru/eng/KO/PDF/KO21/KO21334.pdf DeepSilicon (YC S24): https://news.ycombinator.com/item?id=41490196
In AVX Bitwise ternary logic [VPTERNLOGD] instruction busted (2024)

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