Merge branch 'main' into clarifai-inference-provider

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sanjaychelliah 2024-11-26 18:01:45 +05:30 committed by GitHub
commit 4b9085d312
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536 changed files with 34661 additions and 12116 deletions

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name: local-cpu
distribution_spec:
description: remote inference + local safety/agents/memory
docker_image: null
providers:
inference:
- remote::ollama
- remote::tgi
- remote::together
- remote::fireworks
safety: meta-reference
agents: meta-reference
memory: meta-reference
telemetry: meta-reference
image_type: docker

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@ -1,49 +0,0 @@
built_at: '2024-09-30T09:04:30.533391'
image_name: local-cpu
docker_image: local-cpu
conda_env: null
apis_to_serve:
- agents
- inference
- models
- memory
- safety
- shields
- memory_banks
api_providers:
inference:
providers:
- remote::ollama
safety:
providers:
- meta-reference
agents:
provider_type: meta-reference
config:
persistence_store:
namespace: null
type: sqlite
db_path: ~/.llama/runtime/kvstore.db
memory:
providers:
- meta-reference
telemetry:
provider_type: meta-reference
config: {}
routing_table:
inference:
- provider_type: remote::ollama
config:
host: localhost
port: 6000
routing_key: Llama3.1-8B-Instruct
safety:
- provider_type: meta-reference
config:
llama_guard_shield: null
prompt_guard_shield: null
routing_key: ["llama_guard", "code_scanner_guard", "injection_shield", "jailbreak_shield"]
memory:
- provider_type: meta-reference
config: {}
routing_key: vector

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name: local-gpu
distribution_spec:
description: local meta reference
docker_image: null
providers:
inference: meta-reference
safety: meta-reference
agents: meta-reference
memory: meta-reference
telemetry: meta-reference
image_type: docker

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@ -1,52 +0,0 @@
built_at: '2024-09-30T09:00:56.693751'
image_name: local-gpu
docker_image: local-gpu
conda_env: null
apis_to_serve:
- memory
- inference
- agents
- shields
- safety
- models
- memory_banks
api_providers:
inference:
providers:
- meta-reference
safety:
providers:
- meta-reference
agents:
provider_type: meta-reference
config:
persistence_store:
namespace: null
type: sqlite
db_path: ~/.llama/runtime/kvstore.db
memory:
providers:
- meta-reference
telemetry:
provider_type: meta-reference
config: {}
routing_table:
inference:
- provider_type: meta-reference
config:
model: Llama3.1-8B-Instruct
quantization: null
torch_seed: null
max_seq_len: 4096
max_batch_size: 1
routing_key: Llama3.1-8B-Instruct
safety:
- provider_type: meta-reference
config:
llama_guard_shield: null
prompt_guard_shield: null
routing_key: ["llama_guard", "code_scanner_guard", "injection_shield", "jailbreak_shield"]
memory:
- provider_type: meta-reference
config: {}
routing_key: vector

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name: local-bedrock-conda-example
distribution_spec:
description: Use Amazon Bedrock APIs.
providers:
inference: remote::bedrock
memory: meta-reference
safety: meta-reference
agents: meta-reference
telemetry: meta-reference
image_type: conda

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name: local
distribution_spec:
description: Use code from `llama_stack` itself to serve all llama stack APIs
providers:
inference: meta-reference
memory: meta-reference
safety: meta-reference
agents: meta-reference
telemetry: meta-reference
image_type: conda

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name: local-databricks
distribution_spec:
description: Use Databricks for running LLM inference
providers:
inference: remote::databricks
memory: meta-reference
safety: meta-reference
agents: meta-reference
telemetry: meta-reference
image_type: conda

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name: local-fireworks
distribution_spec:
description: Use Fireworks.ai for running LLM inference
providers:
inference: remote::fireworks
memory: meta-reference
safety: meta-reference
agents: meta-reference
telemetry: meta-reference
image_type: conda

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name: local-hf-endpoint
distribution_spec:
description: "Like local, but use Hugging Face Inference Endpoints for running LLM inference.\nSee https://hf.co/docs/api-endpoints."
providers:
inference: remote::hf::endpoint
memory: meta-reference
safety: meta-reference
agents: meta-reference
telemetry: meta-reference
image_type: conda

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name: local-hf-serverless
distribution_spec:
description: "Like local, but use Hugging Face Inference API (serverless) for running LLM inference.\nSee https://hf.co/docs/api-inference."
providers:
inference: remote::hf::serverless
memory: meta-reference
safety: meta-reference
agents: meta-reference
telemetry: meta-reference
image_type: conda

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name: local-ollama
distribution_spec:
description: Like local, but use ollama for running LLM inference
providers:
inference: remote::ollama
memory: meta-reference
safety: meta-reference
agents: meta-reference
telemetry: meta-reference
image_type: conda

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name: local-tgi
distribution_spec:
description: Like local, but use a TGI server for running LLM inference.
providers:
inference: remote::tgi
memory: meta-reference
safety: meta-reference
agents: meta-reference
telemetry: meta-reference
image_type: conda

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name: local-together
distribution_spec:
description: Use Together.ai for running LLM inference
providers:
inference: remote::together
memory: meta-reference
safety: remote::together
agents: meta-reference
telemetry: meta-reference
image_type: conda

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name: local-vllm
distribution_spec:
description: Like local, but use vLLM for running LLM inference
providers:
inference: vllm
memory: meta-reference
safety: meta-reference
agents: meta-reference
telemetry: meta-reference
image_type: conda