forked from phoenix-oss/llama-stack-mirror
2c9d624910
# What does this PR do? - fix datasets api signature mis-match so that llama stack run can start [//]: # (If resolving an issue, uncomment and update the line below) [//]: # (Closes #[issue-number]) ## Test Plan ``` llama stack run ``` <img width="626" alt="image" src="https://github.com/user-attachments/assets/59072d1a-ccb6-453a-80e8-d87419896c41" /> [//]: # (## Documentation) |
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| modules | ||
| page | ||
| __init__.py | ||
| app.py | ||
| README.md | ||
| requirements.txt | ||
(Experimental) LLama Stack UI
Docker Setup
⚠️ This is a work in progress.
Developer Setup
- Start up Llama Stack API server. More details here.
llama stack build --template together --image-type conda
llama stack run together
- (Optional) Register datasets and eval tasks as resources. If you want to run pre-configured evaluation flows (e.g. Evaluations (Generation + Scoring) Page).
llama-stack-client datasets register \
--dataset-id "mmlu" \
--provider-id "huggingface" \
--url "https://huggingface.co/datasets/llamastack/evals" \
--metadata '{"path": "llamastack/evals", "name": "evals__mmlu__details", "split": "train"}' \
--schema '{"input_query": {"type": "string"}, "expected_answer": {"type": "string", "chat_completion_input": {"type": "string"}}}'
llama-stack-client benchmarks register \
--eval-task-id meta-reference-mmlu \
--provider-id meta-reference \
--dataset-id mmlu \
--scoring-functions basic::regex_parser_multiple_choice_answer
- Start Streamlit UI
cd llama_stack/distribution/ui
pip install -r requirements.txt
streamlit run app.py