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Add llm integration with Intel Gaudi in llama-index-llms-gaudi (#16308)
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llama-index-integrations/llms/llama-index-llms-gaudi/.gitignore
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llama_index/_static | ||
.DS_Store | ||
# Byte-compiled / optimized / DLL files | ||
__pycache__/ | ||
*.py[cod] | ||
*$py.class | ||
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# C extensions | ||
*.so | ||
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# Distribution / packaging | ||
.Python | ||
bin/ | ||
build/ | ||
develop-eggs/ | ||
dist/ | ||
downloads/ | ||
eggs/ | ||
.eggs/ | ||
etc/ | ||
include/ | ||
lib/ | ||
lib64/ | ||
parts/ | ||
sdist/ | ||
share/ | ||
var/ | ||
wheels/ | ||
pip-wheel-metadata/ | ||
share/python-wheels/ | ||
*.egg-info/ | ||
.installed.cfg | ||
*.egg | ||
MANIFEST | ||
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# PyInstaller | ||
# Usually these files are written by a python script from a template | ||
# before PyInstaller builds the exe, so as to inject date/other infos into it. | ||
*.manifest | ||
*.spec | ||
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# Installer logs | ||
pip-log.txt | ||
pip-delete-this-directory.txt | ||
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# Unit test / coverage reports | ||
htmlcov/ | ||
.tox/ | ||
.nox/ | ||
.coverage | ||
.coverage.* | ||
.cache | ||
nosetests.xml | ||
coverage.xml | ||
*.cover | ||
*.py,cover | ||
.hypothesis/ | ||
.pytest_cache/ | ||
.ruff_cache | ||
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# Translations | ||
*.mo | ||
*.pot | ||
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# Django stuff: | ||
*.log | ||
local_settings.py | ||
db.sqlite3 | ||
db.sqlite3-journal | ||
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# Flask stuff: | ||
instance/ | ||
.webassets-cache | ||
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# Scrapy stuff: | ||
.scrapy | ||
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# Sphinx documentation | ||
docs/_build/ | ||
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# PyBuilder | ||
target/ | ||
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# Jupyter Notebook | ||
.ipynb_checkpoints | ||
notebooks/ | ||
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# IPython | ||
profile_default/ | ||
ipython_config.py | ||
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# pyenv | ||
.python-version | ||
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# pipenv | ||
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. | ||
# However, in case of collaboration, if having platform-specific dependencies or dependencies | ||
# having no cross-platform support, pipenv may install dependencies that don't work, or not | ||
# install all needed dependencies. | ||
#Pipfile.lock | ||
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow | ||
__pypackages__/ | ||
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# Celery stuff | ||
celerybeat-schedule | ||
celerybeat.pid | ||
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# SageMath parsed files | ||
*.sage.py | ||
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# Environments | ||
.env | ||
.venv | ||
env/ | ||
venv/ | ||
ENV/ | ||
env.bak/ | ||
venv.bak/ | ||
pyvenv.cfg | ||
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# Spyder project settings | ||
.spyderproject | ||
.spyproject | ||
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# Rope project settings | ||
.ropeproject | ||
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# mkdocs documentation | ||
/site | ||
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# mypy | ||
.mypy_cache/ | ||
.dmypy.json | ||
dmypy.json | ||
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# Pyre type checker | ||
.pyre/ | ||
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# Jetbrains | ||
.idea | ||
modules/ | ||
*.swp | ||
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# VsCode | ||
.vscode | ||
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# pipenv | ||
Pipfile | ||
Pipfile.lock | ||
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# pyright | ||
pyrightconfig.json |
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poetry_requirements( | ||
name="poetry", | ||
) |
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llama-index-integrations/llms/llama-index-llms-gaudi/Makefile
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GIT_ROOT ?= $(shell git rev-parse --show-toplevel) | ||
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help: ## Show all Makefile targets. | ||
@grep -E '^[a-zA-Z_-]+:.*?## .*$$' $(MAKEFILE_LIST) | awk 'BEGIN {FS = ":.*?## "}; {printf "\033[33m%-30s\033[0m %s\n", $$1, $$2}' | ||
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format: ## Run code autoformatters (black). | ||
pre-commit install | ||
git ls-files | xargs pre-commit run black --files | ||
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lint: ## Run linters: pre-commit (black, ruff, codespell) and mypy | ||
pre-commit install && git ls-files | xargs pre-commit run --show-diff-on-failure --files | ||
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test: ## Run tests via pytest. | ||
pytest tests | ||
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watch-docs: ## Build and watch documentation. | ||
sphinx-autobuild docs/ docs/_build/html --open-browser --watch $(GIT_ROOT)/llama_index/ |
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llama-index-integrations/llms/llama-index-llms-gaudi/README.md
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# LlamaIndex Llms Integration with Intel Gaudi | ||
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## Installation | ||
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```bash | ||
pip install --upgrade-strategy eager optimum[habana] | ||
pip install llama-index-llms-gaudi | ||
pip install llama-index-llms-huggingface | ||
``` | ||
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## Usage | ||
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```python | ||
import argparse | ||
import os, logging | ||
from llama_index.llms.gaudi import GaudiLLM | ||
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def setup_parser(parser): | ||
parser.add_argument(...) | ||
args = parser.parse_args() | ||
return args | ||
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if __name__ == "__main__": | ||
parser = argparse.ArgumentParser( | ||
description="GaudiLLM Basic Usage Example" | ||
) | ||
args = setup_parser(parser) | ||
args.model_name_or_path = "HuggingFaceH4/zephyr-7b-alpha" | ||
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llm = GaudiLLM( | ||
args=args, | ||
logger=logger, | ||
model_name="HuggingFaceH4/zephyr-7b-alpha", | ||
tokenizer_name="HuggingFaceH4/zephyr-7b-alpha", | ||
query_wrapper_prompt=PromptTemplate( | ||
"<|system|>\n</s>\n<|user|>\n{query_str}</s>\n<|assistant|>\n" | ||
), | ||
context_window=3900, | ||
max_new_tokens=256, | ||
generate_kwargs={"temperature": 0.7, "top_k": 50, "top_p": 0.95}, | ||
messages_to_prompt=messages_to_prompt, | ||
device_map="auto", | ||
) | ||
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query = "Is the ocean blue?" | ||
print("\n----------------- Complete ------------------") | ||
completion_response = llm.complete(query) | ||
print(completion_response.text) | ||
``` | ||
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## Examples | ||
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- [More Examples](https://github.com/run-llama/llama_index/tree/main/llama-index-integrations/llms/llama-index-llms-gaudi/examples) |
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llama-index-integrations/llms/llama-index-llms-gaudi/examples/BUILD
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python_sources() |
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llama-index-integrations/llms/llama-index-llms-gaudi/examples/README.md
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# GaudiLLM Examples | ||
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This folder contains examples showcasing how to use LlamaIndex with `gaudi` LLM integration `llama_index.llms.gaudi.GaudiLLM`. | ||
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## Installation | ||
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### On Intel Gaudi | ||
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Install `llama-index-llms-gaudi`. This will also install `gaudi` and its dependencies. | ||
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```bash | ||
pip install --upgrade-strategy eager optimum[habana] | ||
``` | ||
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## List of Examples | ||
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### Basic Example | ||
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The example [basic.py](./basic.py) shows how to run `GaudiLLM` on Intel Gaudi and conduct tasks such as text completion. Run the example as following: | ||
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```bash | ||
python basic.py | ||
``` | ||
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> Please note that in this example we'll use [HuggingFaceH4/zephyr-7b-alpha](https://huggingface.co/HuggingFaceH4/zephyr-7b-alpha) model for demonstration. It requires `transformers` and `tokenizers` packages. | ||
> | ||
> ```bash | ||
> pip install -U transformers tokenizers | ||
> ``` |
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