AI Potluck
Model components / Inference code

llama.cpp

ggml-org (Georgi Gerganov)

CPU and GPU inference engine for LLMs written in portable C/C++. Pioneered the GGUF quantization format (2-8 bit) that became the ecosystem standard for local model distribution. Runs on consumer hardware (laptops, phones, Raspberry Pi) without requiring CUDA or Python. 112K+ GitHub stars make it the most-starred inference project; foundational infrastructure that powers Ollama, LM Studio, GPT4All, and dozens of other tools.

Active 2026; latest release tag b9518 (June 4, 2026, GitHub). ggml.ai team joined Hugging Face full-time Feb 20, 2026; project stays open. Confirmed live June 2026.

Openness

5 high confidence
5.0
license
MIT(OSI)
source
public
governance
ggml-org/Hugging Face(community)
core-gated
ungated

Fully MIT-licensed C/C++ inference engine; entire source public, no proprietary tier.

Adoption

4 medium confidence
4.0

De facto standard local/edge inference engine: GGUF (its native format) is >60% of all quantized models on HF, and llama.cpp powers Ollama, LM Studio, GPT4All, Jan.ai, and HF Inference Endpoints, which collectively serve millions. 115k GitHub stars (fastest OSS-AI project to 100k, Mar 2026) corroborates but is not the basis. No clean PyPI/user count for the C++ engine itself, so usage inferred from ecosystem dominance; placed at 4 (1-10M-equivalent).

Capability

4 high confidence
4.0

Frontier for portable/CPU/consumer-hardware inference and quantization breadth, but not the datacenter-GPU throughput frontier held by vLLM/SGLang/TensorRT-LLM; scored 4 on a category where C5 is reserved for the throughput-defining server engines.

Unchanged since 2026-07-30 (last edited, not re-checked)