update vllm version 0.5.4
Signed-off-by: pandyamarut <pandyamarut@gmail.com>
This commit is contained in:
+2
-2
@@ -126,7 +126,7 @@ class OpenAIvLLMEngine(vLLMEngine):
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self.model_config = await self.llm.get_model_config()
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self.chat_engine = OpenAIServingChat(
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engine=self.llm,
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async_engine_client=self.llm,
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model_config=self.model_config,
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served_model_names=[self.served_model_name],
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response_role=self.response_role,
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@@ -136,7 +136,7 @@ class OpenAIvLLMEngine(vLLMEngine):
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request_logger=None
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)
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self.completion_engine = OpenAIServingCompletion(
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engine=self.llm,
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async_engine_client=self.llm,
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model_config=self.model_config,
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served_model_names=[self.served_model_name],
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lora_modules=[],
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+6
-6
@@ -13,9 +13,9 @@ RENAME_ARGS_MAP = {
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}
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DEFAULT_ARGS = {
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"disable_log_stats": True,
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"disable_log_requests": True,
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"gpu_memory_utilization": 0.9,
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"disable_log_stats": os.getenv('DISABLE_LOG_STATS', 'False').lower() == 'true',
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"disable_log_requests": os.getenv('DISABLE_LOG_REQUESTS', 'False').lower() == 'true',
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"gpu_memory_utilization": int(os.getenv('GPU_MEMORY_UTILIZATION', 0.9)),
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"pipeline_parallel_size": int(os.getenv('PIPELINE_PARALLEL_SIZE', 1)),
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"tensor_parallel_size": int(os.getenv('TENSOR_PARALLEL_SIZE', 1)),
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"served_model_name": os.getenv('SERVED_MODEL_NAME', None),
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@@ -162,8 +162,8 @@ def get_engine_args():
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args["max_seq_len_to_capture"] = int(os.getenv("MAX_CONTEXT_LEN_TO_CAPTURE"))
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logging.warning("Using MAX_CONTEXT_LEN_TO_CAPTURE is deprecated. Please use MAX_SEQ_LEN_TO_CAPTURE instead.")
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if "gemma-2" in args.get("model", "").lower():
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os.environ["VLLM_ATTENTION_BACKEND"] = "FLASHINFER"
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logging.info("Using FLASHINFER for gemma-2 model.")
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# if "gemma-2" in args.get("model", "").lower():
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# os.environ["VLLM_ATTENTION_BACKEND"] = "FLASHINFER"
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# logging.info("Using FLASHINFER for gemma-2 model.")
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return AsyncEngineArgs(**args)
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