Ggml
Features
- C Implementation — GGML is written in C, ensuring both efficiency and portability for various applications.
- 16-bit Float Support — The library supports 16-bit floating-point numbers, optimizing performance and memory usage.
- Integer Quantization — GGML facilitates integer quantization (4-bit, 5-bit, 8-bit), which reduces memory usage and speeds up inference.
- Automatic Differentiation — It includes capabilities for automatic differentiation, making gradient-based optimization easier.
- Optimizers — The library comes with built-in optimizers like ADAM and L-BFGS, enhancing model training efficiency.
- Apple Silicon Optimization — GGML is specifically optimized for performance on Apple Silicon, ensuring high efficiency on compatible hardware.
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