Latent SpaceT1·58 pts
- llama.cpp and ggml both hit 1.0, committing to public API stability
- llama.cpp removed 35 deprecated functions in a single cleanup
- SGLang announced 1.0 at its summit, intensifying serving-framework competition
HOT RADAR
opensourceHEAT 28.8°
AI CURATED HOT STORY · 11/13/2026
llama.cpp and ggml Reach 1.0 Milestone Releases
5 reports archived4 independent sourcesupdated 11/14/2026, 16:31:02
Synthesis & Latest Updates
4 Sources Cross-Validatedllama.cpp and its underlying tensor library ggml have both shipped 1.0 releases, signaling API stability, with llama.cpp removing 35 deprecated functions from its public header. SGLang also announced its 1.0 at its summit, marking broader engineering maturity for local inference and high-performance serving stacks.
LATEST/llama.cpp and its underlying tensor library ggml have both shipped 1.0 releases, signaling API stability, with llama.cpp removing 35 deprecated functions from its public header. SGLang also announced its 1.0 at its summit, marking broader engineering maturity for local inference and high-performance serving stacks.
Hourly heat curve
49 fully observed hoursNow
28.8
Peak
56.417:00
24h change
-43%
The line compares only sources observed throughout; gap hours are interpolated to keep the trend continuous.
Coverage timeline
Total 5 reports · Latest first- Hacker News AIT2·58 pts
- ggml ships its first formal 1.0.0 release, giving llama.cpp and other local-inference projects a stable foundation
- Dependency-free C/C++ implementation covering x86, ARM, RISC-V, LoongArch, PowerPC, s390x and WebAssembly
- Supports 2- to 8-bit integer quantization plus MXFP4 and NVFP4 microscaling formats with zero runtime memory allocation
- IT之家 · 智能时代T2·78 pts
- llama.cpp and ggml reach 1.0.0 together, with major version bumps signaling breaking public C API or ABI changes
- Supports over 150 model architecture variants plus mainstream speculative decoding methods for local and cloud deployment
- CI infrastructure expands to Hugging Face HF Buckets/HF Jobs and self-hosted runners from six chip vendors
- Hacker News AIT2·58 pts
- Modeled on the Agile Manifesto, it asserts five value pairs: outcomes, understanding, own thinking, better work, and improving the system
- Core stance is resisting low-quality AI-generated content and preserving human judgment and accountability
- Signatures are collected via a public Gist; it is a community statement with no concrete technical spec or tooling
- Hugging Face BlogT1·78 pts
- llama.cpp ships its first stable v1.0.0 release 3.5 years after inception
- Runs multimodal LLMs across hardware, from consumer machines to enterprise servers
- Quantization and portable C/C++ implementation underpin its lightweight cross-platform reach