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cloud_resource_env

671 kB

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3 contributors

History: 11 commits

sunil18p31a0101's picture

sunil18p31a0101

updated the inference file

c7f487b about 2 months ago

server
FEAT: " Added for BOth GPU and CPU utilization with thermal control and best allocation." about 2 months ago
.gitignore

4.8 kB
feat: implement cloud resource management environment and LLM-based inference pipeline 2 months ago
Dockerfile

1.61 kB
restructed the application file 2 months ago
LICENSE

11.4 kB
Initial commit 2 months ago
README.md

7.14 kB
FEAT: " Added for BOth GPU and CPU utilization with thermal control and best allocation." about 2 months ago
__init__.py

864 Bytes
FEAT: " Added for BOth GPU and CPU utilization with thermal control and best allocation." about 2 months ago
client.py

1.02 kB
restructed the application file 2 months ago
cloud_env.py

6.3 kB
FEAT: " Added for BOth GPU and CPU utilization with thermal control and best allocation." about 2 months ago
inference.py

13 kB
updated the inference file about 2 months ago
models.py

1.85 kB
FEAT: " Added for BOth GPU and CPU utilization with thermal control and best allocation." about 2 months ago
openenv.yaml

101 Bytes
restructed the application file 2 months ago
pyproject.toml

860 Bytes
added yaml and toml file for HF 2 months ago
requirements.txt

200 Bytes
feat: implement cloud resource management environment and LLM-based inference pipeline 2 months ago
train.py

2.64 kB
FEAT: " Added for BOth GPU and CPU utilization with thermal control and best allocation." about 2 months ago
uv.lock

576 kB
added uv.lock file 2 months ago
validate-submission.sh

5.35 kB
added validation script and reduced the step due to MAX API limit 2 months ago