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Add some LLM fields #154

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Merged
yunfeng-scale merged 1 commit into from
Aug 10, 2023
Merged

Add some LLM fields #154

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10 changes: 10 additions & 0 deletions launch/client.py
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Original file line number Diff line number Diff line change
Expand Up @@ -92,6 +92,7 @@
)
from launch.api_client.model.model_endpoint_type import ModelEndpointType
from launch.api_client.model.pytorch_framework import PytorchFramework
from launch.api_client.model.quantization import Quantization
from launch.api_client.model.runnable_image_flavor import RunnableImageFlavor
from launch.api_client.model.streaming_enhanced_runnable_image_flavor import (
StreamingEnhancedRunnableImageFlavor,
Expand Down Expand Up @@ -2601,6 +2602,8 @@ def create_llm_model_endpoint(
source: LLMSource = LLMSource.HUGGING_FACE,
inference_framework: LLMInferenceFramework = LLMInferenceFramework.DEEPSPEED,
num_shards: int = 4,
quantize: Optional[Quantization] = None,
checkpoint_path: Optional[str] = None,
# General endpoint fields
cpus: int = 32,
memory: str = "192Gi",
Expand Down Expand Up @@ -2645,6 +2648,11 @@ def create_llm_model_endpoint(
num_shards: number of shards for the LLM. When bigger than 1, LLM will be sharded
to multiple GPUs. Number of GPUs must be larger than num_shards.

quantize: Quantization method for the LLM. Only affects behavior for text-generation-inference models.

checkpoint_path: Path to the checkpoint to load the model from.
Only affects behavior for text-generation-inference models.

cpus: Number of cpus each worker should get, e.g. 1, 2, etc. This must be greater
than or equal to 1.

Expand Down Expand Up @@ -2793,6 +2801,8 @@ def create_llm_model_endpoint(
inference_framework=inference_framework,
inference_framework_image_tag=inference_framework_image_tag,
num_shards=num_shards,
quantize=quantize,
checkpoint_path=checkpoint_path,
cpus=cpus,
endpoint_type=ModelEndpointType(endpoint_type),
gpus=gpus,
Expand Down