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Support for Llama3.2 models and Swift SDK (#98)

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Ashwin Bharambe 2024-09-25 10:29:58 -07:00 • committed by GitHub
parent 95abbf576b
commit 56aed59eb4
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56 changed files with 3745 additions and 630 deletions
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13
llama_stack/providers/impls/meta_reference/inference/config.py
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@ -16,7 +16,7 @@ from pydantic import BaseModel, Field, field_validator
class MetaReferenceImplConfig(BaseModel):
model: str = Field(
default="Meta-Llama3.1-8B-Instruct",
default="Llama3.1-8B-Instruct",
description="Model descriptor from `llama model list`",
)
quantization: Optional[QuantizationConfig] = None
@ -30,7 +30,7 @@ class MetaReferenceImplConfig(BaseModel):
permitted_models = [
m.descriptor()
for m in all_registered_models()
if m.model_family == ModelFamily.llama3_1
if m.model_family in {ModelFamily.llama3_1, ModelFamily.llama3_2}
or m.core_model_id == CoreModelId.llama_guard_3_8b
]
if model not in permitted_models:
@ -42,14 +42,9 @@ class MetaReferenceImplConfig(BaseModel):
@property
def model_parallel_size(self) -> int:
# HUGE HACK ALERT: this will be fixed when we move inference configuration
# HACK ALERT: this will be fixed when we move inference configuration
# to ModelsRegistry and we can explicitly ask for `model_parallel_size`
# as configuration there
gpu_count = 1
resolved = resolve_model(self.model)
assert resolved is not None
descriptor = resolved.descriptor().lower()
if "-70b" in descriptor or "-405b" in descriptor:
gpu_count = 8
return gpu_count
return resolved.pth_file_count