instal the last version for iphoneCppcheck 2.11

O3 - std= c11 - fPIC - DNDEBUG - Wall - Wextra - Wpedantic - Wcast- qual - Wdouble- promotion - Wshadow - Wstrict- prototypes - Wpointer- arith - Wmissing- prototypes - pthread - DGGML_USE_K_QUANTS - DGGML_USE_ACCELERATE I CXXFLAGS: - I. I UNAME_S: Darwin I UNAME_P: arm I UNAME_M: arm64 I CFLAGS: - I. gguf - p 'Building a website can be done in 10 simple steps: Step 1:' - n 400 - e I llama. main - m models/ llama- 13 b- v2/ ggml- model- q4_0.

Here is a typical run using LLaMA v2 13B on M2 Ultra:

Node.js: withcatai/node-llama-cpp, hlhr202/llama-node.

Chinese LLaMA / Alpaca and Chinese LLaMA-2 / Alpaca-2.

This project is mainly for educational purposes and servesĪs the main playground for developing new features for the ggml library. Since then, the project has improved significantly thanks to many contributions. The original implementation of llama.cpp was hacked in an evening.

CUDA, Metal and OpenCL GPU backend support.

2-bit, 3-bit, 4-bit, 5-bit, 6-bit and 8-bit integer quantization support.

AVX, AVX2 and AVX512 support for x86 architectures.

Apple silicon first-class citizen - optimized via ARM NEON, Accelerate and Metal frameworks.

Plain C/C++ implementation without dependencies.

The main goal of llama.cpp is to run the LLaMA model using 4-bit integer quantization on a MacBook

Seminal papers and background on the models.Obtaining the Facebook LLaMA original model and Stanford Alpaca model data.gguf models will need to be reconverted: #3252

‼️ BPE tokenizer update: existing Falcon and Starcoder.

Inference of LLaMA model in pure C/C++ Hot topics

Roadmap / Project status / Manifesto / ggml

Instal the last version for iphoneCppcheck 2.11