forked from phoenix-oss/llama-stack-mirror
516e1a3e59
# What does this PR do? Adds the sentence transformer provider and the `all-MiniLM-L6-v2` embedding model to the default models to register in the run.yaml for all providers. ## Test Plan llama stack build --template together --image-type conda llama stack run ~/.llama/distributions/llamastack-together/together-run.yaml
96 lines
2.5 KiB
YAML
96 lines
2.5 KiB
YAML
version: '2'
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image_name: meta-reference-quantized-gpu
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docker_image: null
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conda_env: meta-reference-quantized-gpu
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apis:
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- agents
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- datasetio
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- eval
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- inference
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- memory
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- safety
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- scoring
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- telemetry
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providers:
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inference:
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- provider_id: meta-reference-inference
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provider_type: inline::meta-reference-quantized
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config:
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model: ${env.INFERENCE_MODEL}
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max_seq_len: 4096
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checkpoint_dir: ${env.INFERENCE_CHECKPOINT_DIR:null}
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quantization:
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type: fp8
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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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memory:
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- provider_id: faiss
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provider_type: inline::faiss
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config:
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kvstore:
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type: sqlite
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namespace: null
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db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/meta-reference-quantized-gpu}/faiss_store.db
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safety:
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- provider_id: llama-guard
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provider_type: inline::llama-guard
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config: {}
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agents:
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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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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/meta-reference-quantized-gpu}/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/meta-reference-quantized-gpu/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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datasetio:
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- provider_id: huggingface
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provider_type: remote::huggingface
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config: {}
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- provider_id: localfs
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provider_type: inline::localfs
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config: {}
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scoring:
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- provider_id: basic
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provider_type: inline::basic
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config: {}
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- provider_id: llm-as-judge
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provider_type: inline::llm-as-judge
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config: {}
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- provider_id: braintrust
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provider_type: inline::braintrust
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config:
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openai_api_key: ${env.OPENAI_API_KEY:}
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metadata_store:
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namespace: null
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type: sqlite
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db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/meta-reference-quantized-gpu}/registry.db
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models:
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- metadata: {}
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model_id: ${env.INFERENCE_MODEL}
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provider_id: meta-reference-inference
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provider_model_id: null
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model_type: llm
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- metadata:
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embedding_dimension: 384
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model_id: all-MiniLM-L6-v2
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provider_id: sentence-transformers
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provider_model_id: null
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model_type: embedding
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shields: []
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memory_banks: []
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datasets: []
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scoring_fns: []
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eval_tasks: []
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