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llama32-3b-instruct

478 kB

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History: 69 commits

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nvidia/cuda:11.7.1-cudnn8-runtime-ubuntu22.04

053dce6 verified about 1 month ago

.gitignore

19 Bytes

feat(download_model.py): remove download_model.py during build, it causing big image size 10 months ago
Dockerfile

1.63 kB

nvidia/cuda:11.7.1-cudnn8-runtime-ubuntu22.04 about 1 month ago
README.md

1.74 kB

feat(llama32-3b-instruct): change llama32-3b-instruct 5 months ago
download_model.py

700 Bytes

feat(add-model): always download model during build, it will be cached in the consecutive builds 10 months ago
main.py

6.7 kB

feat(parse): parse output 10 months ago
openai_compatible_api_server.py

24.4 kB

feat(dep_sizes.txt): removes dep_sizes.txt during build, it not needed 10 months ago
poetry.lock

426 kB

feat(refactor): move the files to root 10 months ago
pyproject.toml

416 Bytes

feat(refactor): move the files to root 10 months ago
requirements.txt

9.99 kB

feat(first-commit): follow examples and tutorials 10 months ago
run-llama.sh

1.51 kB

fix(runner.sh): --enforce-eager not support values 8 months ago
run-sailor.sh

1.83 kB

fix(runner.sh): --enforce-eager not support values 8 months ago
runner.sh

2.46 kB

fix(float16): Bfloat16 is only supported on GPUs with compute capability of at least 8.0. Your Tesla T4 GPU has compute capability 7.5. You can use float16 instead by explicitly setting the`dtype` flag in CLI, for example: --dtype=half. 5 months ago