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fix(model): Fix vllm new tokenizer error (#1601)

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Fangyin Cheng 2024-06-05 15:27:58 +08:00 committed by GitHub
parent c3c063683c
commit 43b5821ce4
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2 changed files with 7 additions and 5 deletions
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8
dbgpt/model/adapter/vllm_adapter.py
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@ -40,7 +40,7 @@ class VLLMModelAdapterWrapper(LLMModelAdapter):
help="local model path of the huggingface model to use", help="local model path of the huggingface model to use",
) )
parser.add_argument("--model_type", type=str, help="model type") parser.add_argument("--model_type", type=str, help="model type")
parser.add_argument("--device", type=str, default=None, help="device") # parser.add_argument("--device", type=str, default=None, help="device")
# TODO parse prompt templete from `model_name` and `model_path` # TODO parse prompt templete from `model_name` and `model_path`
parser.add_argument( parser.add_argument(
"--prompt_template", "--prompt_template",
@ -76,7 +76,11 @@ class VLLMModelAdapterWrapper(LLMModelAdapter):
# Set the attributes from the parsed arguments. # Set the attributes from the parsed arguments.
engine_args = AsyncEngineArgs(**vllm_engine_args_dict) engine_args = AsyncEngineArgs(**vllm_engine_args_dict)
engine = AsyncLLMEngine.from_engine_args(engine_args) engine = AsyncLLMEngine.from_engine_args(engine_args)
return engine, engine.engine.tokenizer tokenizer = engine.engine.tokenizer
if hasattr(tokenizer, "tokenizer"):
# vllm >= 0.2.7
tokenizer = tokenizer.tokenizer
return engine, tokenizer
def support_async(self) -> bool: def support_async(self) -> bool:
return True return True

4
dbgpt/model/llm_out/vllm_llm.py
View File

@ -61,9 +61,7 @@ async def generate_stream(
**gen_params **gen_params
) )
results_generator = model.generate( results_generator = model.generate(prompt, sampling_params, request_id)
prompt, sampling_params, request_id, prompt_token_ids=prompt_token_ids
)
async for request_output in results_generator: async for request_output in results_generator:
prompt = request_output.prompt prompt = request_output.prompt
if echo: if echo: