例如,如果您在同一 GPU 上运行两个 vLLM 实例,则可以为每个实例将 GPU 内存利用率设置为 0.5。 --guided-decoding-backend {outlines,lm-format-enforcer,xgrammar} 默认情况下,哪个引擎将用于引导解码(JSON 模式/正则表达式等)。目前支持 https://github.com/outlines-dev/outlines,
# Guided decoding by JSON using Pydantic schemaclassCarType(str,Enum):sedan="sedan"suv="SUV"truck="Truck"coupe="Coupe"classCarDescription(BaseModel):brand:strmodel:strcar_type:CarTypejson_schema=CarDescription.model_json_schema()prompt=("Generate a JSON with the brand, model and car_type of...
一、引言 Guided Decoding,又叫 Structured Output,是大模型推理领域中非常重要的一个特性,主要用于引导大模型输出符合某种特定格式(如:SQL、Json)的结果,以便更好地将大模型落地到具体的应用场景中。在我…
例如,如果您在同一 GPU 上运行两个 vLLM 实例,则可以为每个实例将 GPU 内存利用率设置为0.5。 --guided-decoding-backend{outlines,lm-format-enforcer,xgrammar}默认情况下,哪个引擎将用于引导解码(JSON 模式/正则表达式等)。目前支持 https:///outlines-dev/outlines, https:///mlc-ai/xgrammar, 和 https:/...
[str] = Field( default=None, description=( "If specified, the output will follow the context free grammar."), ) guided_decoding_backend: Optional[str] = Field( default=None, description=( "If specified, will override the default guided decoding backend " "of the server for this specific ...
--guided-decoding-backend{outlines,lm-format-enforcer}哪个引擎将默认用于指导解码(JSON架构/正则表达式等)。当前支持https://github.com/outlines-dev/outlines 和 https://github.com/noamgat/lm-format-enforcer。可通过请求中的guided_decoding_backend参数覆盖。
async def test_guided_json_completion(server, client: openai.AsyncOpenAI, guided_decoding_backend: str): completion = await client.completions.create( model=MODEL_NAME, prompt=f"Give an example JSON for an employee profile " f"that fits this schema: {TEST_SCHEMA}", n=3, temperature=1.0, ...
template_text_format='string', trust_remote_code=False, allowed_local_media_path=None, download_dir=None, load_format='auto', config_format=<ConfigFormat.AUTO: 'auto'>, dtype='auto', kv_cache_dtype='auto', quantization_param_path=None, max_model_len=120000, guided_decoding_backend='...
disable_custom_all_reduce=False, quantization=None, enforce_eager=False, kv_cache_dtype=auto, quantization_param_path=None, device_config=cuda, decoding_config=DecodingConfig(guided_decoding_backend='outlines'), seed=0, served_model_name=qwen) INFO: Started server process [614] INFO: Waiting for...
bfloat16, max_seq_len=128, download_dir=None, load_format=LoadFormat.AUTO, tensor_parallel_size=2, pipeline_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=False, kv_cache_dtype=auto, device_config=cuda, decoding_config=DecodingConfig(guided_decoding_backend=...