Footer

Your go-to destination for discovering trending open-source projects and uncovering the insights that matter

Legal

  • Terms and conditions
  • Privacy policy

More

  • Pricing
  • Advertise
  • onedump
  • gosnakego
  • Contact us

Social

  • X (Twitter)
  • GitHub
Trendshift owl
What they build speaks louder than words
© 2026 Trendshift, created by Julian Li with ❤️
SignalAdvertise
Trendshift
SignalAdvertise
Sign in
Trendshift owl

Discover trends that matter

SignalAdvertise
DailyWeeklyMonthlyYearly
Live mentionsTopics
RepositoriesDevelopers
InsightsStats

Bifrost
Bifrost

IntelChina-AI/BitTern

Making 1.58-bit models simple to build and broadly accessible through low-cost, high-accuracy post-training ternary quantization.

Visit GitHub
Python
48
9
2 contributors
Apache License 2.0
FeaturedAdvertise to 180K+ monthly visitors
Bifrost

Fastest Enterprise AI Gateway for Routing, Governing, and Securing all your AI Traffic

Momentum

How fast IntelChina-AI/BitTern is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Sep 9 – Nov 4, 2026

Stars +12 in 57 days

0123
3

Forks +3 in 57 days

01
1

Merged PRs 0 in 57 days

01

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Sep 9Sep 17Sep 25Oct 3Oct 11Oct 19Oct 27Nov 4
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
Wed, Sep 9, 2026+1+00
Thu, Sep 10, 2026+0+00
Fri, Sep 11, 2026+0+00
Sat, Sep 12, 2026+0+00
Sun, Sep 13, 2026+0+00
Mon, Sep 14, 2026+1+00
Tue, Sep 15, 2026+0+00
Wed, Sep 16, 2026+0+00
Thu, Sep 17, 2026+0+00
Fri, Sep 18, 2026+0+00
Sat, Sep 19, 2026+0+10
Sun, Sep 20, 2026+0+00
Mon, Sep 21, 2026+0+00
Tue, Sep 22, 2026+0+00
Wed, Sep 23, 2026+1+00
Thu, Sep 24, 2026+0+00
Fri, Sep 25, 2026+0+00
Sat, Sep 26, 2026+0+00
Sun, Sep 27, 2026+0+00
Mon, Sep 28, 2026+0+00
Tue, Sep 29, 2026+0+00
Wed, Sep 30, 2026+0+10
Thu, Oct 1, 2026+0+00
Fri, Oct 2, 2026+0+00
Sat, Oct 3, 2026+0+00
Sun, Oct 4, 2026+0+00
Mon, Oct 5, 2026+0+00
Tue, Oct 6, 2026+0+00
Wed, Oct 7, 2026+0+00
Thu, Oct 8, 2026+0+00
Fri, Oct 9, 2026+0+00
Sat, Oct 10, 2026+0+00
Sun, Oct 11, 2026+1+00
Mon, Oct 12, 2026+0+00
Tue, Oct 13, 2026+1+00
Wed, Oct 14, 2026+1+00
Thu, Oct 15, 2026+0+00
Fri, Oct 16, 2026+1+00
Sat, Oct 17, 2026+0+00
Sun, Oct 18, 2026+0+00
Mon, Oct 19, 2026+0+00
Tue, Oct 20, 2026+0+00
Wed, Oct 21, 2026+0+00
Thu, Oct 22, 2026+0+00
Fri, Oct 23, 2026+0+00
Sat, Oct 24, 2026+0+00
Sun, Oct 25, 2026+0+00
Mon, Oct 26, 2026+0+00
Tue, Oct 27, 2026+3+00
Wed, Oct 28, 2026+0+00
Thu, Oct 29, 2026+0+00
Fri, Oct 30, 2026+0+00
Sat, Oct 31, 2026+1+00
Sun, Nov 1, 2026+0+00
Mon, Nov 2, 2026+1+00
Tue, Nov 3, 2026+0+10
Wed, Nov 4, 2026+0+00
Total+12+30
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Jul 21 post
    • BitTern / CAT-Q: Cost-efficient and Accurate Ternary Quantization for LLMs

      Read full on Reddit

      r/unsloth

You might also like

Repositories close to IntelChina-AI/BitTern
FeaturedAdvertise to 180K+ monthly visitors
Bifrost

Fastest Enterprise AI Gateway for Routing, Governing, and Securing all your AI Traffic

tiiuae/onebitllms

Python

Lightweight toolkit package to train and fine-tune 1.58bit Language models

15014

AI-Efficiency/Qwen3-Quantization-Toolkit

Python
828

SamsungLabs/LittleBit

Python

Official implementation of LittleBit (NeurIPS 2025) and its follow-up LittleBit-2 (ICML 2026)

30333

IST-DASLab/SLQ

Python

Statistically-Lossless Quantization of Large Language Models

609

IST-DASLab/GSQ

Python

Gumbel-Softmax post-training quantization for LLMs (1–3 bit scalar, INT/GGUF-compatible).

12921

AutoGPTQ/AutoGPTQ

Python

An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.

5.1k521

intel/auto-round

Python

PTQ-Level Efficiency, QAT-Level Accuracy | 训练后量化的效率,量化感知训练的精度

1.7k204

localai-org/apex-quant

Shell

Adaptive Precision for EXpert Models: MoE-aware mixed-precision quantization

48237

bitsandbytes-foundation/bitsandbytes

Python

Accessible large language models via k-bit quantization for PyTorch.

8.5k897