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resource oriented object design for models

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This commit is contained in:
Dinesh Yeduguru 2024-11-07 16:43:55 -08:00
parent 5625aef48a
commit ca88f3f182
17 changed files with 63 additions and 82 deletions
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12
llama_stack/providers/remote/inference/ollama/ollama.py
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@ -15,7 +15,7 @@ from llama_models.llama3.api.tokenizer import Tokenizer
from ollama import AsyncClient
from llama_stack.apis.inference import * # noqa: F403
from llama_stack.providers.datatypes import ModelsProtocolPrivate
from llama_stack.providers.datatypes import Model, ModelsProtocolPrivate
from llama_stack.providers.utils.inference.openai_compat import (
get_sampling_options,
@ -65,10 +65,11 @@ class OllamaInferenceAdapter(Inference, ModelsProtocolPrivate):
async def shutdown(self) -> None:
pass
async def register_model(self, model: ModelDef) -> None:
raise ValueError("Dynamic model registration is not supported")
async def register_model(self, model: Model) -> None:
if model.identifier not in OLLAMA_SUPPORTED_MODELS:
raise ValueError(f"Model {model.identifier} is not supported by Ollama")
async def list_models(self) -> List[ModelDef]:
async def list_models(self) -> List[Model]:
ollama_to_llama = {v: k for k, v in OLLAMA_SUPPORTED_MODELS.items()}
ret = []
@ -80,9 +81,8 @@ class OllamaInferenceAdapter(Inference, ModelsProtocolPrivate):
llama_model = ollama_to_llama[r["model"]]
ret.append(
ModelDef(
Model(
identifier=llama_model,
llama_model=llama_model,
metadata={
"ollama_model": r["model"],
},