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https://github.com/meta-llama/llama-stack.git
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96039831c4
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7 changed files with 149 additions and 109 deletions
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@ -453,6 +453,40 @@
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"transformers",
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"uvicorn"
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],
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"open-benchmark": [
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"aiosqlite",
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"autoevals",
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"blobfile",
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"chardet",
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"chromadb-client",
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"datasets",
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"fastapi",
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"fire",
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"httpx",
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"litellm",
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"matplotlib",
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"mcp",
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"nltk",
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"numpy",
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"openai",
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"opentelemetry-exporter-otlp-proto-http",
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"opentelemetry-sdk",
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"pandas",
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"pillow",
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"psycopg2-binary",
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"pymongo",
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"pypdf",
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"redis",
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"requests",
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"scikit-learn",
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"scipy",
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"sentencepiece",
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"sqlite-vec",
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"together",
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"tqdm",
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"transformers",
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"uvicorn"
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],
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"remote-vllm": [
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"aiosqlite",
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"autoevals",
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@ -26,5 +26,5 @@ class TogetherImplConfig(BaseModel):
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def sample_run_config(cls, **kwargs) -> Dict[str, Any]:
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return {
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"url": "https://api.together.xyz/v1",
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"api_key": "${env.TOGETHER_API_KEY}",
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"api_key": "${env.TOGETHER_API_KEY:}",
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}
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7
llama_stack/templates/open-benchmark/__init__.py
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7
llama_stack/templates/open-benchmark/__init__.py
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@ -0,0 +1,7 @@
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# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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from .open_benchmark import get_distribution_template # noqa: F401
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@ -36,7 +36,7 @@ def get_inference_providers() -> Tuple[List[Provider], List[ModelInput]]:
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"openai",
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[
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ProviderModelEntry(
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provider_model_id="penai/gpt-4o",
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provider_model_id="openai/gpt-4o",
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model_type=ModelType.llm,
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)
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],
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@ -62,26 +62,6 @@ def get_inference_providers() -> Tuple[List[Provider], List[ModelInput]]:
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],
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GeminiConfig.sample_run_config(api_key="${env.GEMINI_API_KEY:}"),
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),
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(
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"groq",
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[
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ProviderModelEntry(
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provider_model_id="groq/llama-3.3-70b-versatile",
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model_type=ModelType.llm,
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)
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],
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GroqConfig.sample_run_config(api_key="${env.GROQ_API_KEY:}"),
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),
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(
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"together",
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[
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ProviderModelEntry(
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provider_model_id="meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo",
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model_type=ModelType.llm,
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)
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],
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TogetherImplConfig.sample_run_config(api_key="${env.TOGETHER_API_KEY:}"),
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),
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]
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inference_providers = []
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available_models = {}
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@ -243,7 +223,7 @@ def get_distribution_template() -> DistributionTemplate:
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return DistributionTemplate(
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name=name,
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distro_type="self_hosted",
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description="Distribution for running e2e tests in CI",
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description="Distribution for running open benchmarks",
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container_image=None,
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template_path=None,
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providers=providers,
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@ -266,13 +246,25 @@ def get_distribution_template() -> DistributionTemplate:
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"5001",
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"Port for the Llama Stack distribution server",
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),
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"FIREWORKS_API_KEY": (
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"TOGETHER_API_KEY": (
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"",
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"Fireworks API Key",
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"Together API Key",
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),
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"OPENAI_API_KEY": (
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"",
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"OpenAI API Key",
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),
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"GEMINI_API_KEY": (
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"",
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"Gemini API Key",
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),
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"ANTHROPIC_API_KEY": (
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"",
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"Anthropic API Key",
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),
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"GROQ_API_KEY": (
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"",
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"Groq API Key",
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),
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},
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)
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@ -38,7 +38,7 @@ providers:
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- provider_id: sqlite-vec
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provider_type: inline::sqlite-vec
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config:
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db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/dev}/sqlite_vec.db
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db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/open-benchmark}/sqlite_vec.db
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- provider_id: ${env.ENABLE_CHROMADB+chromadb}
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provider_type: remote::chromadb
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config:
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persistence_store:
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type: sqlite
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namespace: null
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db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/dev}/agents_store.db
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db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/open-benchmark}/agents_store.db
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telemetry:
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- provider_id: meta-reference
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provider_type: inline::meta-reference
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config:
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service_name: ${env.OTEL_SERVICE_NAME:llama-stack}
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sinks: ${env.TELEMETRY_SINKS:console,sqlite}
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sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/dev/trace_store.db}
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sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/open-benchmark/trace_store.db}
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eval:
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- provider_id: meta-reference
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provider_type: inline::meta-reference
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config: {}
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metadata_store:
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type: sqlite
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db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/dev}/registry.db
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db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/open-benchmark}/registry.db
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models:
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- metadata: {}
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model_id: openai/gpt-4o
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provider_id: openai
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provider_model_id: openai/gpt-4o
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model_type: llm
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- metadata: {}
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model_id: meta-llama/Llama-3.1-405B-Instruct
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provider_id: together
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provider_model_id: meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo
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model_type: llm
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- metadata: {}
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model_id: anthropic/claude-3-5-sonnet-latest
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provider_id: anthropic
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provider_model_id: gemini/gemini-1.5-flash
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model_type: llm
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- metadata: {}
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model_id: meta-llama/Llama-3.3-70B-Instruct
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model_id: groq/llama-3.3-70b-versatile
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provider_id: groq
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provider_model_id: groq/llama-3.3-70b-versatile
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model_type: llm
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- metadata: {}
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model_id: meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo
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provider_id: together
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provider_model_id: meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo
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model_type: llm
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shields:
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- shield_id: meta-llama/Llama-Guard-3-8B
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vector_dbs: []
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datasets:
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- dataset_id: simpleqa
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provider_id: huggingface
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url:
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uri: https://huggingface.co/datasets/llamastack/simpleqa
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metadata:
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path: llamastack/simpleqa
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name:
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split: train
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dataset_schema:
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- dataset_schema:
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input_query:
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type: string
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expected_answer:
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type: string
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chat_completion_input:
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type: string
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- dataset_id: mmlu_cot
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url:
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uri: https://huggingface.co/datasets/llamastack/simpleqa
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metadata:
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path: llamastack/simpleqa
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name: null
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split: train
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dataset_id: simpleqa
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provider_id: huggingface
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- dataset_schema:
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input_query:
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type: string
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expected_answer:
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type: string
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chat_completion_input:
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type: string
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url:
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uri: https://huggingface.co/datasets/llamastack/mmlu_cot
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metadata:
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path: llamastack/mmlu_cot
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name: all
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split: test
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dataset_schema:
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dataset_id: mmlu_cot
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provider_id: huggingface
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- dataset_schema:
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input_query:
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type: string
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expected_answer:
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type: string
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chat_completion_input:
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type: string
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- dataset_id: gpqa_cot
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provider_id: huggingface
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url:
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uri: https://huggingface.co/datasets/llamastack/gpqa_0shot_cot
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metadata:
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path: llamastack/gpqa_0shot_cot
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name: gpqa_main
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name: main
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split: train
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dataset_schema:
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dataset_id: gpqa_cot
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provider_id: huggingface
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- dataset_schema:
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input_query:
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type: string
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expected_answer:
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type: string
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chat_completion_input:
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type: string
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- dataset_id: math_500
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provider_id: huggingface
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url:
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uri: https://huggingface.co/datasets/llamastack/math_500
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metadata:
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path: llamastack/math_500
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name:
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split: test
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dataset_schema:
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input_query:
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type: string
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expected_answer:
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type: string
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chat_completion_input:
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type: string
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dataset_id: math_500
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provider_id: huggingface
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scoring_fns: []
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benchmarks:
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- benchmark_id: meta-reference-simpleqa
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dataset_id: simpleqa
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scoring_functions: ["llm-as-judge::405b-simpleqa"]
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- benchmark_id: meta-reference-mmlu-cot
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dataset_id: mmlu_cot
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scoring_functions: ["basic::regex_parser_multiple_choice_answer"]
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- benchmark_id: meta-reference-gpqa-cot
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dataset_id: gpqa_cot
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scoring_functions: ["basic::regex_parser_multiple_choice_answer"]
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- benchmark_id: meta-reference-math-500
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dataset_id: math_500
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scoring_functions: ["basic::regex_parser_math_response"]
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- dataset_id: simpleqa
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scoring_functions:
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- llm-as-judge::405b-simpleqa
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metadata: {}
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benchmark_id: meta-reference-simpleqa
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- dataset_id: mmlu_cot
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scoring_functions:
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- basic::regex_parser_multiple_choice_answer
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metadata: {}
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benchmark_id: meta-reference-mmlu-cot
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- dataset_id: gpqa_cot
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scoring_functions:
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- basic::regex_parser_multiple_choice_answer
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metadata: {}
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benchmark_id: meta-reference-gpqa-cot
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- dataset_id: math_500
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scoring_functions:
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- basic::regex_parser_math_response
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metadata: {}
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benchmark_id: meta-reference-math-500
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tool_groups:
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- toolgroup_id: builtin::websearch
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provider_id: tavily-search
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@ -16,7 +16,7 @@ providers:
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provider_type: remote::together
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config:
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url: https://api.together.xyz/v1
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api_key: ${env.TOGETHER_API_KEY}
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api_key: ${env.TOGETHER_API_KEY:}
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- provider_id: sentence-transformers
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provider_type: inline::sentence-transformers
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config: {}
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@ -16,7 +16,7 @@ providers:
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provider_type: remote::together
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config:
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url: https://api.together.xyz/v1
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api_key: ${env.TOGETHER_API_KEY}
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api_key: ${env.TOGETHER_API_KEY:}
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- provider_id: sentence-transformers
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provider_type: inline::sentence-transformers
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config: {}
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