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Rename/move from original prototype structure.
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31 changes: 31 additions & 0 deletions .gitignore
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# Visual Studio files
.env
.vs/
.vscode/
*.sdf
*.opensdf
*.VC.opendb
*.suo
*.user

# macOS files
.DS_Store

# CMake artifacts
build/
build-*/

# Python
__pycache__
_python_build/
dist/
wheelhouse
*.egg-info
*.whl
*.venv

#Model artifacts
*.pt
*.safetensors
*.gguf
*.vmfb
219 changes: 219 additions & 0 deletions LICENSE
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56 changes: 56 additions & 0 deletions README.md
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# SHARK Modeling and Serving Libraries

**WARNING: This is an early preview that is in progress. It is not ready for
general use.**

## Development Getting Started

Use this as a guide to get started developing the project using pinned,
pre-release dependencies. You are welcome to deviate as you see fit, but
these canonical directions mirror what the CI does.

### Setup a venv

We recommend setting up a virtual environment (venv). The project is configured
to ignore `.venv` directories, and editors like VSCode pick them up by default.

```
python -m venv --prompt sharktank .venv
source .venv/bin/activate
```

### Install PyTorch for Your System

If no explicit action is taken, the default PyTorch version will be installed.
This will give you a current CUDA-based version. Install a different variant
by doing so explicitly first:

*CPU:*

```
pip install -r pytorch-cpu-requirements.txt
```

*ROCM:*

```
pip install -r pytorch-rocm-requirements.txt
```

### Install Development Packages

This assumes you have `SHARK-Turbine` checked out adjacent (note that for the
moment we rely on pre-release versions, so installation is a bit harder).

```
pip install -f https://iree.dev/pip-release-links.html -e ../SHARK-Turbine/core/
pip install -e sharktank
pip install -e shortfin
```

### Running Tests

```
pytest sharktank
pytest shortfin
```
3 changes: 0 additions & 3 deletions llm/pyproject.toml

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3 changes: 3 additions & 0 deletions pytorch-cpu-requirements.txt
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--pre
--index-url https://download.pytorch.org/whl/test/cpu
torch==2.3.0
5 changes: 5 additions & 0 deletions pytorch-rocm-requirements.txt
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--pre
--index-url https://download.pytorch.org/whl/nightly/rocm6.0
# TODO: PyTorch ROCM doesn't seem to have a 2.3 RC published, so we just
# get a nightly.
torch>=2.3.0.dev1,<2.4
10 changes: 10 additions & 0 deletions requirements.txt
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numpy>=1.26.3
onnx>=1.15.0
pytest>=8.0.0
pytest-xdist>=3.5.0
mypy==1.8.0
types-requests==2.31.0.20240125

# It is expected that you have installed a PyTorch version/variant specific
# to your needs, so we only include a minimum version spec.
torch>=2.3.0
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3 changes: 0 additions & 3 deletions serving/requirements.txt

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14 changes: 9 additions & 5 deletions llm/README.md → sharktank/README.md
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# Turbine-LLM
# SHARK Tank

Light weight inference optimized layers and models for popular LLMs.
**WARNING: This is an early preview that is in progress. It is not ready for
general use.**

Light weight inference optimized layers and models for popular genai
applications.

This sub-project is a work in progress. It is intended to be a repository of
layers, model recipes, and conversion tools from popular LLM quantization
Expand All @@ -16,7 +20,7 @@ These are all under active development and should not yet be expected to work.
### Perform batched inference in PyTorch on a paged llama derived LLM:

```shell
python -m turbine_llm.examples.paged_llm_v1 \
python -m sharktank.examples.paged_llm_v1 \
--hf-dataset=open_llama_3b_v2_f16_gguf \
"Prompt 1" \
"Prompt 2" ...
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### Export an IREE compilable batched LLM for serving:

```shell
python -m turbine_llm.examples.export_paged_llm_v1 --hf-dataset=open_llama_3b_v2_f16_gguf
python -m sharktank.examples.export_paged_llm_v1 --hf-dataset=open_llama_3b_v2_f16_gguf
```

### Dump parsed information about a model from a gguf file:

```shell
python -m turbine_llm.tools.dump_gguf --hf-dataset=open_llama_3b_v2_f16_gguf
python -m sharktank.tools.dump_gguf --hf-dataset=open_llama_3b_v2_f16_gguf
```
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explicit_package_bases = True
mypy_path = $MYPY_CONFIG_FILE_DIR
packages = turbine_llm
packages = sharktank
12 changes: 12 additions & 0 deletions sharktank/pyproject.toml
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[build-system]
requires = ["setuptools", "wheel"]
build-backend = "setuptools.build_meta"

[tool.pytest.ini_options]
addopts = "-ra"
testpaths = [
"tests",
]
pythonpath = [
".",
]
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