llama-stack-mirror/distributions/ssambanova/run.yaml
2024-11-29 17:26:58 -06:00

71 lines
1.7 KiB
YAML

version: "2"
image_name: sambanova
docker_image: null
conda_env: sambanova
apis:
- inference
- safety
- agents
- memory
- datasetio
- scoring
- eval
- telemetry
providers:
inference:
- provider_id: sambanova
provider_type: remote::sambanova
config:
url: https://api.sambanova.ai/v1
api_key: ${env.SAMBANOVA_API_KEY}
safety:
- provider_id: llama-guard
provider_type: inline::llama-guard
config: {}
agents:
- provider_id: meta-reference
provider_type: inline::meta-reference
config:
persistence_store:
type: sqlite
namespace: null
db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/sambanova}/agents_store.db
memory:
- provider_id: faiss
provider_type: inline::faiss
config:
kvstore:
type: sqlite
namespace: null
db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/sambanova}/faiss_store.db
datasetio:
- provider_id: localfs
provider_type: inline::localfs
config: {}
scoring:
- provider_id: basic
provider_type: inline::basic
config: {}
eval:
- provider_id: meta-reference
provider_type: inline::meta-reference
config: {}
telemetry:
- provider_id: meta-reference
provider_type: inline::meta-reference
config: {}
metadata_store: null
models:
- metadata: {}
model_id: meta-llama/Llama-3.1-8B-Instruct
provider_id: null
provider_model_id: Meta-Llama-3.1-8B-Instruct
shields:
- params: null
shield_id: meta-llama/Llama-Guard-3-8B
provider_id: null
provider_shield_id: null
memory_banks: []
datasets: []
scoring_fns: []
eval_tasks: []