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  1. huggingface.co

    Aug 13, 2024ggml is a machine learning (ML) library written in C and C++ with a focus on Transformer inference. The project is open-source and is being actively developed by a growing community. ggml is similar to ML libraries such as PyTorch and TensorFlow, though it is still in its early stages of development and some of its fundamentals are still changing rapidly.
  2. The main goal of llama.cpp is to enable LLM inference with minimal setup and state-of-the-art performance on a wide range of hardware - locally and in the cloud.. Plain C/C++ implementation without any dependencies; Apple silicon is a first-class citizen - optimized via ARM NEON, Accelerate and Metal frameworks
  3. metriccoders.com

    High Performance: GGML is optimized for different hardware architectures, including Apple Silicon and x86 platforms.. Quantization Support: GGML supports integer quantization (4-bit, 5-bit, 8-bit), which helps in reducing the model size and improving inference speed.. Automatic Differentiation: GGML includes built-in support for automatic differentiation, making it easier to implement and ...
  4. hardware-corner.net

    Sep 19, 2023GGML is a C library that enables you to perform fast and flexible tensor operations and machine learning tasks. Currently, the combination between GGML and llama.cpp is the best option for running LLaMa based model like Alpaca, Vicuna, or Wizard on your personal computer's CPU.. You can use GGML converted weights (GGML or GGUF file format) and use llama.cpp to run the model with your CPU or ...
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