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2f994cfc50
using the new template.py, regenerate all distros and their new provider configs Signed-off-by: Charlie Doern <cdoern@redhat.com>
109 lines
3.5 KiB
YAML
109 lines
3.5 KiB
YAML
version: 2
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image_name: meta-reference-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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- safety
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- scoring
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- telemetry
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- tool_runtime
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- vector_io
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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
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config:
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model: ${env.INFERENCE_MODEL}
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checkpoint_dir: ${env.INFERENCE_CHECKPOINT_DIR:=null}
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quantization:
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type: ${env.QUANTIZATION_TYPE:=bf16}
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model_parallel_size: ${env.MODEL_PARALLEL_SIZE:=0}
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max_batch_size: ${env.MAX_BATCH_SIZE:=1}
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max_seq_len: ${env.MAX_SEQ_LEN:=4096}
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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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vector_io:
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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-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: ~/.llama/distributions/meta-reference-gpu/provider_configs/safety/llama-guard.yaml
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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: ~/.llama/distributions/meta-reference-gpu/provider_configs/agents/meta-reference.yaml
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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: ~/.llama/distributions/meta-reference-gpu/provider_configs/telemetry/meta-reference.yaml
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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: ~/.llama/distributions/meta-reference-gpu/provider_configs/eval/meta-reference.yaml
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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: ~/.llama/distributions/meta-reference-gpu/provider_configs/datasetio/huggingface.yaml
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- provider_id: localfs
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provider_type: inline::localfs
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config: ~/.llama/distributions/meta-reference-gpu/provider_configs/datasetio/localfs.yaml
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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: ~/.llama/distributions/meta-reference-gpu/provider_configs/scoring/braintrust.yaml
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tool_runtime:
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- provider_id: brave-search
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provider_type: remote::brave-search
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config: ~/.llama/distributions/meta-reference-gpu/provider_configs/tool_runtime/brave-search.yaml
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- provider_id: tavily-search
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provider_type: remote::tavily-search
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config: ~/.llama/distributions/meta-reference-gpu/provider_configs/tool_runtime/tavily-search.yaml
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- provider_id: rag-runtime
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provider_type: inline::rag-runtime
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config: {}
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- provider_id: model-context-protocol
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provider_type: remote::model-context-protocol
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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/meta-reference-gpu}/registry.db
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inference_store:
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type: sqlite
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db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/meta-reference-gpu}/inference_store.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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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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model_type: embedding
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shields: []
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vector_dbs: []
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datasets: []
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scoring_fns: []
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benchmarks: []
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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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- toolgroup_id: builtin::rag
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provider_id: rag-runtime
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server:
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port: 8321
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