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dora/benches/llms
Ignavar d5c38b958d Ease of use changes to not manually have to install libraries like librosa and opencv when running benches in virtual env 9 months ago
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.gitignore Rename benchs -> benches to be conformant with cargo 10 months ago
README.md Ease of use changes to not manually have to install libraries like librosa and opencv when running benches in virtual env 9 months ago
llama_cpp_python.yaml Ease of use changes to not manually have to install libraries like librosa and opencv when running benches in virtual env 9 months ago
mistralrs.yaml Ease of use changes to not manually have to install libraries like librosa and opencv when running benches in virtual env 9 months ago
phi4.yaml Ease of use changes to not manually have to install libraries like librosa and opencv when running benches in virtual env 9 months ago
qwen2.5.yaml Ease of use changes to not manually have to install libraries like librosa and opencv when running benches in virtual env 9 months ago
transformers.yaml Ease of use changes to not manually have to install libraries like librosa and opencv when running benches in virtual env 9 months ago

README.md

Benchmark LLM Speed

If you do not have a python virtual environment setup run

'''bash
uv venv --seed -p 3.11
'''

Then Use the following command to run the benchmark:

dora build transformers.yaml --uv
dora run transformers.yaml --uv

You should see a benchmark details.

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DORA (Dataflow-Oriented Robotic Architecture) is middleware designed to streamline and simplify the creation of AI-based robotic applications. It offers low latency, composable, and distributed datafl

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