docs: preserve upstream English README

README.en.md

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+# ggml
+
+[Manifesto](https://github.com/ggerganov/llama.cpp/discussions/205)
+
+Tensor library for machine learning
+
+***Note that this project is under active development. \
+Some of the development is currently happening in the [llama.cpp](https://github.com/ggerganov/llama.cpp) and [whisper.cpp](https://github.com/ggerganov/whisper.cpp) repos***
+
+## Features
+
+- Low-level cross-platform implementation
+- Integer quantization support
+- Broad hardware support
+- Automatic differentiation
+- ADAM and L-BFGS optimizers
+- No third-party dependencies
+- Zero memory allocations during runtime
+
+## Build
+
+```bash
+git clone https://github.com/ggml-org/ggml
+cd ggml
+
+# install python dependencies in a virtual environment
+python3.10 -m venv .venv
+source .venv/bin/activate
+pip install -r requirements.txt
+
+# build the examples
+mkdir build && cd build
+cmake ..
+cmake --build . --config Release -j 8
+```
+
+## GPT inference (example)
+
+```bash
+# run the GPT-2 small 117M model
+../examples/gpt-2/download-ggml-model.sh 117M
+./bin/gpt-2-backend -m models/gpt-2-117M/ggml-model.bin -p "This is an example"
+```
+
+For more information, checkout the corresponding programs in the [examples](examples) folder.
+
+## Resources
+
+- [Introduction to ggml](https://huggingface.co/blog/introduction-to-ggml)
+- [The GGUF file format](https://github.com/ggerganov/ggml/blob/master/docs/gguf.md)