使用网页启动自定义模型报错 _extractNVMLErrorsAsClasses.<locals>.gen_new.<locals>.new() #2014
Description
System Info / 系統信息
xprobe/xinference:735d5dbbb830
Running Xinference with Docker? / 是否使用 Docker 运行 Xinfernece？
- docker / docker
- pip install / 通过 pip install 安装
- installation from source / 从源码安装
Version info / 版本信息
0.13.1
The command used to start Xinference / 用以启动 xinference 的命令
docker run -p 9997:9997 --gpus='"device=4,5,6,7"' xprobe/xinference:latest xinference-local -H 0.0.0.0
Reproduction / 复现过程
自定义模型配置：
{
"version": 1,
"context_length": 128000,
"model_name": "qwen2-7b-instruct-128K",
"model_lang": [
"en",
"zh"
],
"model_ability": [
"generate",
"chat"
],
"model_description": "qwen2-7b-instruct-128K",
"model_family": "qwen2-instruct",
"model_specs": [
{
"model_format": "pytorch",
"model_size_in_billions": 7,
"quantizations": [
"none"
],
"model_id": null,
"model_hub": "huggingface",
"model_uri": "file:///model/qwen2-7b-instruct",
"model_revision": null
}
],
"prompt_style": {
"style_name": "QWEN",
"system_prompt": "You are a helpful assistant.",
"roles": [
"user",
"assistant"
],
"intra_message_sep": "\n",
"inter_message_sep": "",
"stop": [
"<|endoftext|>",
"<|im_start|>",
"<|im_end|>"
],
"stop_token_ids": [
151643,
151644,
151645
]
},
"is_builtin": false
}
启动模型配置：
报错信息：
2024-08-05 02:25:28,266 xinference.model.llm.llm_family 140 INFO Caching from URI: file:///model/qwen2-7b-instruct
2024-08-05 02:25:28,266 xinference.model.llm.llm_family 140 INFO Cache /model/qwen2-7b-instruct exists
2024-08-05 02:25:28,289 xinference.model.llm.vllm.core 3168 INFO Loading qwen2-7b-instruct-128K with following model config: {'tokenizer_mode': 'auto', 'trust_remote_code': True, 'tensor_parallel_size': 1, 'block_size': 16, 'swap_space': 4, 'gpu_memory_utilization': 0.9, 'max_num_seqs': 256, 'quantization': None, 'max_model_len': 4096}Enable lora: False. Lora count: 0.
2024-08-05 02:25:28,291 transformers.configuration_utils 3168 INFO loading configuration file /model/qwen2-7b-instruct/config.json
2024-08-05 02:25:28,292 transformers.configuration_utils 3168 INFO Model config Qwen2Config {
"_name_or_path": "/model/qwen2-7b-instruct",
"architectures": [
"Qwen2ForCausalLM"
],
"attention_dropout": 0.0,
"bos_token_id": 151643,
"eos_token_id": 151645,
"hidden_act": "silu",
"hidden_size": 3584,
"initializer_range": 0.02,
"intermediate_size": 18944,
"max_position_embeddings": 32768,
"max_window_layers": 28,
"model_type": "qwen2",
"num_attention_heads": 28,
"num_hidden_layers": 28,
"num_key_value_heads": 4,
"rms_norm_eps": 1e-06,
"rope_theta": 1000000.0,
"sliding_window": 131072,
"tie_word_embeddings": false,
"torch_dtype": "bfloat16",
"transformers_version": "4.42.3",
"use_cache": true,
"use_sliding_window": false,
"vocab_size": 152064
}
2024-08-05 02:25:28,293 vllm.engine.llm_engine 3168 INFO Initializing an LLM engine (v0.5.1) with config: model='/model/qwen2-7b-instruct', speculative_config=None, tokenizer='/model/qwen2-7b-instruct', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, rope_scaling=None, rope_theta=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=4096, download_dir=None, load_format=LoadFormat.AUTO, tensor_parallel_size=1, pipeline_parallel_size=1, 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'), observability_config=ObservabilityConfig(otlp_traces_endpoint=None), seed=0, served_model_name=/model/qwen2-7b-instruct, use_v2_block_manager=False, enable_prefix_caching=False)
2024-08-05 02:25:28,294 transformers.tokenization_utils_base 3168 INFO loading file vocab.json
2024-08-05 02:25:28,294 transformers.tokenization_utils_base 3168 INFO loading file merges.txt
2024-08-05 02:25:28,294 transformers.tokenization_utils_base 3168 INFO loading file tokenizer.json
2024-08-05 02:25:28,294 transformers.tokenization_utils_base 3168 INFO loading file added_tokens.json
2024-08-05 02:25:28,294 transformers.tokenization_utils_base 3168 INFO loading file special_tokens_map.json
2024-08-05 02:25:28,294 transformers.tokenization_utils_base 3168 INFO loading file tokenizer_config.json
2024-08-05 02:25:28,502 transformers.tokenization_utils_base 3168 WARNING Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
2024-08-05 02:25:28,517 transformers.generation.configuration_utils 3168 INFO loading configuration file /model/qwen2-7b-instruct/generation_config.json
2024-08-05 02:25:28,518 transformers.generation.configuration_utils 3168 INFO Generate config GenerationConfig {
"bos_token_id": 151643,
"do_sample": true,
"eos_token_id": [
151645,
151643
],
"pad_token_id": 151643,
"repetition_penalty": 1.05,
"temperature": 0.7,
"top_k": 20,
"top_p": 0.8
}
2024-08-05 02:25:28,600 xinference.core.worker 140 ERROR Failed to load model qwen2-7b-instruct-128K-1-0
Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/xinference/core/worker.py", line 841, in launch_builtin_model
await model_ref.load()
File "/usr/local/lib/python3.10/dist-packages/xoscar/backends/context.py", line 230, in send
result = await self._wait(future, actor_ref.address, send_message) # type: ignore
File "/usr/local/lib/python3.10/dist-packages/xoscar/backends/context.py", line 115, in _wait
return await future
File "xoscar/serialization/core.pyx", line 933, in xoscar.serialization.core.deserialize
File "xoscar/serialization/core.pyx", line 831, in xoscar.serialization.core._deserial_single
File "xoscar/serialization/core.pyx", line 106, in xoscar.serialization.core.Serializer.deserial
File "/usr/local/lib/python3.10/dist-packages/xoscar/serialization/exception.py", line 45, in deserial
return unpickle_buffers(subs)
File "xoscar/serialization/core.pyx", line 261, in xoscar.serialization.core.unpickle_buffers
TypeError: _extractNVMLErrorsAsClasses..gen_new..new() takes 1 positional argument but 2 were given
2024-08-05 02:25:28,664 xinference.api.restful_api 1 ERROR [address=0.0.0.0:34148, pid=140] _extractNVMLErrorsAsClasses..gen_new..new() takes 1 positional argument but 2 were given
Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/xinference/api/restful_api.py", line 835, in launch_model
model_uid = await (await self._get_supervisor_ref()).launch_builtin_model(
File "/usr/local/lib/python3.10/dist-packages/xoscar/backends/context.py", line 231, in send
return self._process_result_message(result)
File "/usr/local/lib/python3.10/dist-packages/xoscar/backends/context.py", line 102, in _process_result_message
raise message.as_instanceof_cause()
File "/usr/local/lib/python3.10/dist-packages/xoscar/backends/pool.py", line 656, in send
result = await self._run_coro(message.message_id, coro)
File "/usr/local/lib/python3.10/dist-packages/xoscar/backends/pool.py", line 367, in _run_coro
return await coro
File "/usr/local/lib/python3.10/dist-packages/xoscar/api.py", line 384, in on_receive
return await super().on_receive(message) # type: ignore
File "xoscar/core.pyx", line 558, in on_receive
raise ex
File "xoscar/core.pyx", line 520, in xoscar.core._BaseActor.on_receive
async with self._lock:
File "xoscar/core.pyx", line 521, in xoscar.core._BaseActor.on_receive
with debug_async_timeout('actor_lock_timeout',
File "xoscar/core.pyx", line 526, in xoscar.core._BaseActor.on_receive
result = await result
File "/usr/local/lib/python3.10/dist-packages/xinference/core/supervisor.py", line 988, in launch_builtin_model
await _launch_model()
File "/usr/local/lib/python3.10/dist-packages/xinference/core/supervisor.py", line 952, in _launch_model
await _launch_one_model(rep_model_uid)
File "/usr/local/lib/python3.10/dist-packages/xinference/core/supervisor.py", line 932, in _launch_one_model
await worker_ref.launch_builtin_model(
File "xoscar/core.pyx", line 284, in __pyx_actor_method_wrapper
async with lock:
File "xoscar/core.pyx", line 287, in xoscar.core.__pyx_actor_method_wrapper
result = await result
File "/usr/local/lib/python3.10/dist-packages/xinference/core/utils.py", line 45, in wrapped
ret = await func(*args, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/xinference/core/worker.py", line 841, in launch_builtin_model
await model_ref.load()
File "/usr/local/lib/python3.10/dist-packages/xoscar/backends/context.py", line 230, in send
result = await self._wait(future, actor_ref.address, send_message) # type: ignore
File "/usr/local/lib/python3.10/dist-packages/xoscar/backends/context.py", line 115, in _wait
return await future
File "xoscar/serialization/core.pyx", line 933, in xoscar.serialization.core.deserialize
deserialized = _deserial_single(
File "xoscar/serialization/core.pyx", line 831, in xoscar.serialization.core._deserial_single
res = serializer.deserial(serialized[_COMMON_HEADER_LEN:], context, subs)
File "xoscar/serialization/core.pyx", line 106, in xoscar.serialization.core.Serializer.deserial
cpdef deserial(self, tuple serialized, dict context, list subs):
File "/usr/local/lib/python3.10/dist-packages/xoscar/serialization/exception.py", line 45, in deserial
return unpickle_buffers(subs)
File "xoscar/serialization/core.pyx", line 261, in xoscar.serialization.core.unpickle_buffers
result = cloudpickle.loads(buffers[0], buffers=buffers[1:])
TypeError: [address=0.0.0.0:34148, pid=140] _extractNVMLErrorsAsClasses..gen_new..new() takes 1 positional argument but 2 were given
Expected behavior / 期待表现
正常运行