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ggml-org/llama.cpp

LLM inference in C/C++

#LLM inference
Visit GitHub
C++
135.2k
22.9k
1,742 contributors
MIT License
website
AchievementsView all →
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Momentum

How fast ggml-org/llama.cpp 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 16 – Nov 15, 2026

Stars +6,879 in 61 days

0200400
372

Forks +2,399 in 61 days

050100
85

Merged PRs 1,412 in 61 days

0204060
44

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

Top 25 in C++

443347278147812117111216181511141511141414191214171318111478912101081310151414111112141011191243
Sep 16Sep 24Oct 2Oct 10Oct 18Oct 26Nov 3Nov 11
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 PRsC++
Wed, Sep 16, 2026+118+4720#4
Thu, Sep 17, 2026+129+5418#4
Fri, Sep 18, 2026+133+6018#3
Sat, Sep 19, 2026+120+4312#3
Sun, Sep 20, 2026+122+297#4
Mon, Sep 21, 2026+120+3830#7
Tue, Sep 22, 2026+133+3823#2
Wed, Sep 23, 2026+115+4929#7
Thu, Sep 24, 2026+104+4022#8
Fri, Sep 25, 2026+73+2919#14
Sat, Sep 26, 2026+94+4213#7
Sun, Sep 27, 2026+93+3418#8
Mon, Sep 28, 2026+97+4220#12
Tue, Sep 29, 2026+95+3135#11
Wed, Sep 30, 2026+97+3935#7
Thu, Oct 1, 2026+98+2834#11
Fri, Oct 2, 2026+71+3825#12
Sat, Oct 3, 2026+68+3711#16
Sun, Oct 4, 2026+78+3220#18
Mon, Oct 5, 2026+90+3831#15
Tue, Oct 6, 2026+110+3025#11
Wed, Oct 7, 2026+102+3428#14
Thu, Oct 8, 2026+0+3728Not trending
Fri, Oct 9, 2026+119+4125#15
Sat, Oct 10, 2026+103+4313#11
Sun, Oct 11, 2026+89+357#14
Mon, Oct 12, 2026+104+3618#14
Tue, Oct 13, 2026+129+4132#14
Wed, Oct 14, 2026+103+3030#19
Thu, Oct 15, 2026+118+3735#12
Fri, Oct 16, 2026+115+4129#14
Sat, Oct 17, 2026+105+3712#17
Sun, Oct 18, 2026+105+295#13
Mon, Oct 19, 2026+98+2927#18
Tue, Oct 20, 2026+116+4634#11
Wed, Oct 21, 2026+97+5521#14
Thu, Oct 22, 2026+104+4526#7
Fri, Oct 23, 2026+115+5421#8
Sat, Oct 24, 2026+92+2919#9
Sun, Oct 25, 2026+94+3920#12
Mon, Oct 26, 2026+108+3824#10
Tue, Oct 27, 2026+105+3432#10
Wed, Oct 28, 2026+109+2926#8
Thu, Oct 29, 2026+106+2731#13
Fri, Oct 30, 2026+115+4114#10
Sat, Oct 31, 2026+94+3413#15
Sun, Nov 1, 2026+96+303#14
Mon, Nov 2, 2026+113+3529#14
Tue, Nov 3, 2026+98+5036#11
Wed, Nov 4, 2026+91+4621#11
Thu, Nov 5, 2026+100+3244#12
Fri, Nov 6, 2026+92+3617#14
Sat, Nov 7, 2026+93+2817#10
Sun, Nov 8, 2026+94+3015#11
Mon, Nov 9, 2026+89+4129#19
Tue, Nov 10, 2026+102+4142#12
Wed, Nov 11, 2026+202+8531#4
Thu, Nov 12, 2026+372+6239#3
Fri, Nov 13, 2026+346+6721Not trending
Sat, Nov 14, 2026+193+4732Not trending
Sun, Nov 15, 2026+95+101Not trending
Total+6,879+2,3991,412
  • 1#1 on the list
  • 7Rank that day
  • Not trending
1
  • GitHub trending history

    Where the repository ranked on GitHub Trending, one dot for each day it was on a list

    Dec 13, 2023 – Nov 13, 2026Best #5

    #1#5#10#15#20#25
    Top 10
    Oct 2023AprOctAprOctAprOct
    The left and right arrow keys step from day to day; Home and End go to the first and the last

    Mentions and achievements

    Where people are talking about ggml-org/llama.cpp, and every badge it has earned
    1. Nov 151 post
      • had my agents test nvidia's new 4-bit format (NVFP4) on their Qwen2.5-VL-7B model in llama.cpp, on a 12 GB laptop GPU. perplexity came back around 1,000,000. it should be about 9. the agents did the…

        Read full on X, posted by @arparvar

        @arparvar · x.com

    2. Nov 144 posts
      • 本周从 GitHub 热榜里挑了 7 个 AI 工具。 不是新模型,是审查、浏览器和远程控制;llama.cpp 刚发到了 1.0。 1. llama.cpp 本地跑大模型的推理库,11 月 13 日发了 v1.0.0。官方写明:以后接口不兼容,会升主版本号。135,030 星。 2. T3 Code 把已经装好的 Claude Code、Codex…

        Read full on X, posted by @cccc2024cccc

        @cccc2024cccc · x.com

      • The engine powering local AI just reached version 1.0.0. llama.cpp has become one of the most important projects for running LLMs locally, from laptops and smartphones to GPU servers. The v1.0…

        Read full on X, posted by @Alacritic_Super

        @Alacritic_Super · x.com

      • Quantisation can shrink a model and speed up inference, but it can also change accuracy. Test the quantised version on your own task.

        Read full on X, posted by @IkshaLabs

        @IkshaLabs · x.com

      • 4/ vLLM High-throughput, low-latency LLM serving engine. • PagedAttention manages KV cache memory • Continuous batching for high concurrency • The industry standard for self-hosted LLM clusters

        Read full on X, posted by @vedangvatsa

        @vedangvatsa · x.com

    3. Nov 135 posts
      • llama.cpp Still Powers Local LLM Inference Everywhere Local LLM inference in plain C/C++ — 134,528 stars and still trending. #AI #OpenSource

        Read full on X, posted by @AnggaM39410

        @AnggaM39410 · x.com

      • llama.cpp hit 1.0, and it now ships a script that tunes MoE expert offloading for your GPU. On an 8GB RTX 3070, a tester's 35B-A3B coder went from ~35 to 62.4 tok/s on the PR branch. python3…

        Read full on X, posted by @kaimi_local

        @kaimi_local · x.com

      • The PR also adds support for single-KV-head models (MQA/MLA) and handles unaligned K/V strides. Intel users can access this via the Vulkan backend in the latest llama.cpp builds.

        Read full on X, posted by @stornic56

        @stornic56 · x.com

      • llama.cpp v1.0

        Read full on Hacker News

        Hacker News

      • 本地跑大模型最省心的还得是纯 C++ 写的这个。 没有一堆乱七八糟的 Python 依赖,装完直接丢进终端就能跑。苹果芯片和各大显卡加速全包了,连各种位数的量化都切得明明白白。不管是塞进轻量服务器还是在笔记本上离线跑,一行命令直接起个兼容 OpenAI 的本地服务。

        Read full on X, posted by @musen9527

        @musen9527 · x.com

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