XLA (Accelerated Linear Algebra) bindings for OCaml. This is based on the xla-rs Rust bindings, the semantics for the various operands are documented on the xla website.
Pre-compiled binaries for the xla library can be downloaded from the
elixir-nx/xla repo.
These should be extracted at the root of this repository, resulting
in a xla_extension subdirectory being created, the currently supported version
is 0.4.4.
For a linux platform, this can be done via:
wget https://github.com/elixir-nx/xla/releases/download/v0.4.4/xla_extension-x86_64-linux-gnu-cpu.tar.gz
tar -xzvf xla_extension-x86_64-linux-gnu-cpu.tar.gzIf the xla_extension directory is not in the main project directory, the path
can be specified via the XLA_EXTENSION_DIR environment variable.
The LLaMA large language model can
be used to generate text. The model weights are only available after completing
this form and once downloaded can be
converted to a format this package can use. This requires a GPU with 16GB of
memory or 32GB of memory when running on CPU (tweak the use_gpu variable in
the example code to choose between CPU and GPU).
# Download the tokenizer config.
wget https://huggingface.co/hf-internal-testing/llama-tokenizer/raw/main/tokenizer.json -O llama-tokenizer.json
# Extract the pre-trained weights, this requires the transformers and
# safetensors python libraries to be installed.
python examples/convert_llama_checkpoint.py ..../LLaMA/7B/consolidated.00.pth
# Run the example.
dune exec examples/llama.exeOne of the featured examples is GPT2. In order to run it, one should first download the tokenization configuration file as well as the weights before running the example. In order to do this, run the following commands:
# Download the tokenizer files.
wget https://openaipublic.blob.core.windows.net/gpt-2/encodings/main/vocab.bpe
# Extract the pre-trained weights, this requires the transformers python library to be installed.
# This creates a npz file storing all the weights.
python examples/get_gpt2_weights.py
# Run the example.
dune exec examples/nanogpt.exe