llama.cpp
19 updates on llama.cpp.
Gemma 2B and 7B open the Gemma line, built on Gemini research
Google released Gemma 2B and 7B with an 8192-token context, weights on Kaggle and Hugging Face under a custom Gemma licence, not an open source one.
MobileVLM V2 runs 1.7B, 3B and 7B vision models on 144 image tokens
Meituan and Zhejiang University report a 1.7B vision language model at 64.2 on six benchmarks and 51.63 tok/s on an NVIDIA Jetson Orin.
Arm runs Llama 2 7B at 9.6 tokens per second on three mobile CPU cores
Arm demonstrated Llama 2 7B generating 9.6 tokens per second on three Cortex-A700 CPU cores, using int4 kernels it says beat llama.cpp by 20 percent.
LLM.swift wraps llama.cpp for on-device text generation in Swift apps
A Swift package that wraps llama.cpp so iOS, macOS, watchOS, tvOS and visionOS apps can load a GGUF file and generate text on the device.
LLMFarm runs llama.cpp models offline on iOS and macOS
The iOS and macOS app loads a quantised model file off the device and chats with it offline, with 3B the practical size on an iPhone.
Sherpa runs LLaMA on an Android phone through a Flutter chat app
The Flutter app loads a ggml model file off the phone and chats with it offline, and development stopped three weeks after it started.
Georgi Gerganov publishes llama.cpp, LLM inference in plain C and C++
The dependency-free C and C++ inference engine supports 1.5-bit to 8-bit quantisation and treats Apple silicon as a first-class target.