llama-stack-mirror/distributions/meta-reference-gpu/run.yaml

69 lines
1.6 KiB
YAML

version: '2'
built_at: '2024-10-08T17:40:45.325529'
image_name: local
docker_image: null
conda_env: local
apis:
- shields
- agents
- models
- memory
- memory_banks
- inference
- safety
providers:
inference:
- provider_id: inference0
provider_type: inline::meta-reference
config:
model: Llama3.2-3B-Instruct
quantization: null
torch_seed: null
max_seq_len: 4096
max_batch_size: 1
- provider_id: inference1
provider_type: inline::meta-reference
config:
model: Llama-Guard-3-1B
quantization: null
torch_seed: null
max_seq_len: 2048
max_batch_size: 1
safety:
- provider_id: meta0
provider_type: inline::llama-guard
config:
model: Llama-Guard-3-1B
excluded_categories: []
- provider_id: meta1
provider_type: inline::prompt-guard
config:
model: Prompt-Guard-86M
# Uncomment to use prompt guard
# prompt_guard_shield:
# model: Prompt-Guard-86M
memory:
- provider_id: meta0
provider_type: inline::meta-reference
config: {}
# Uncomment to use pgvector
# - provider_id: pgvector
# provider_type: remote::pgvector
# config:
# host: 127.0.0.1
# port: 5432
# db: postgres
# user: postgres
# password: mysecretpassword
agents:
- provider_id: meta0
provider_type: inline::meta-reference
config:
persistence_store:
namespace: null
type: sqlite
db_path: ~/.llama/runtime/agents_store.db
telemetry:
- provider_id: meta0
provider_type: inline::meta-reference
config: {}