您好！我想问问这个报错是为啥呢？ #15
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注意到项目支持的模型有限，我也使用了Qwen2.5-14B-Instruct。但发现好像问题还是一样。 Adapt qwen2 14b configAuto Set CHUNKED_PREFILL=1Auto Set CHUNKED_PREFILL_SIZE=512Auto Set CPM_FUSE_QKV=1Auto Set CPM_FUSE_FF_IN=1Auto Set HOST_REDUCE=1Auto Set HOST_REDUCE_COPY_ONLY=1Auto Set DUAL_STREAM=1Auto Set DUAL_STREAM_THRESHOLD=100INFO 12-17 21:39:05 llm_engine.py:20] engine config => EngineConfig(model_path='/data/huggingface/Qwen2.5-14B-Instruct', model_file='/data/huggingface/Qwen2.5-14B-Instruct/model-00001-of-00008.safetensors', vocab_file='/data/huggingface/Qwen2.5-14B-Instruct/vocabs.txt', is_cpm_directory_struct=False, use_safetensors=True, model_config={'architectures': ['Qwen2ForCausalLM'], 'attention_dropout': 0.0, 'bos_token_id': 151643, 'eos_token_id': 151645, 'hidden_act': 'silu', 'hidden_size': 5120, 'initializer_range': 0.02, 'intermediate_size': 13824, 'max_position_embeddings': 32768, 'max_window_layers': 70, 'model_type': 'qwen2', 'num_attention_heads': 40, 'num_hidden_layers': 48, 'num_key_value_heads': 8, 'rms_norm_eps': 1e-06, 'rope_theta': 1000000.0, 'sliding_window': 131072, 'tie_word_embeddings': False, 'torch_dtype': 'bfloat16', 'transformers_version': '4.43.1', 'use_cache': True, 'use_sliding_window': False, 'vocab_size': 152064, 'num_layers': 48, 'dim_model': 5120, 'num_heads': 40, 'num_kv_heads': 8, 'max_token': 32768, 'dim_ff': 13824, 'eps': 1e-06, 'activate_fn': 'silu', 'bfloat16': True, 'new_vocab': False}, dyn_batch_config=DynamicBatchConfig(max_batch=8, max_beam_size=4, task_queue_size=8, max_total_token=8192, seed=0, bos_id=0, eos_id=2, nccl=-1, rag_buffer=True), quant_config={'type': <QuantType.NoQuant: 0>}, memory_limit=0, enable_tensor_parallel=True, is_chatml=False, max_model_len=8192) Adapt qwen2 14b config[DEV]Config: HIGH_PRECISION=1; DUAL_STREAM=1; CPM_FUSE_QKV=1; CPM_FUSE_FF_IN=1; REDUCE_TP_INT8_THRES=None; W4_INT8_ALGO=None; W4_FP8_ALGO=None
Verify max_token failed! please adjust reserved_work_mem_mb to a bigger value. |
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看日志最后有一个CUBLAS_STATUS_NOT_SUPPORTED的报错，感觉是这个镜像不支持你的卡型。看README的测试报告主要是针对4090和A800，估计没有对H100的支持。富哥，毕竟国内H100太稀少了。 |
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没有在 H100 测过。H100 的话请确认一下 torch 对应的 cublas 是不是 12.5 的版本。 |
python -m zhilight.server.openai.entrypoints.api_server --model-path /home/zhujianian/workspace/Uneed/huggingface_download/Llama-2-7b-chat-hf
INFO 12-17 19:26:28 api_server.py:152] ZhiLight OpenAI-Compatible Server version 0.4.8.
INFO 12-17 19:26:28 api_server.py:160] args: Namespace(host='0.0.0.0', port=8080, api_key='', served_model_name=None, response_role='assistant', uvicorn_log_level='info', allow_credentials=False, allowed_origins=[''], allowed_methods=[''], allowed_headers=[''], ssl_keyfile=None, ssl_certfile=None, ssl_ca_certs=None, ssl_cert_reqs=0, root_path=None, middleware=[], zhilight_version=None, environ=[], pip=[], model_path='/home/zhujianian/workspace/Uneed/huggingface_download/Llama-2-7b-chat-hf', max_model_len=8192, disable_flash_attention=False, enable_cpm_chat=False, disable_tensor_parallel=False, enable_prefix_caching=False, disable_log_stats=False, quantization=None, dyn_max_batch_size=8, dyn_max_beam_size=4, ignore_eos=False, disable_log_requests=False, max_log_len=None)
INFO 12-17 19:26:28 llm_engine.py:20] engine config => EngineConfig(model_path='/home/zhujianian/workspace/Uneed/huggingface_download/Llama-2-7b-chat-hf', model_file='/home/zhujianian/workspace/Uneed/huggingface_download/Llama-2-7b-chat-hf/model-00002-of-00002.safetensors', vocab_file='/home/zhujianian/workspace/Uneed/huggingface_download/Llama-2-7b-chat-hf/vocabs.txt', is_cpm_directory_struct=False, use_safetensors=True, model_config={'_name_or_path': 'meta-llama/Llama-2-7b-chat-hf', 'architectures': ['LlamaForCausalLM'], 'bos_token_id': 1, 'eos_token_id': 2, 'hidden_act': 'silu', 'hidden_size': 4096, 'initializer_range': 0.02, 'intermediate_size': 11008, 'max_position_embeddings': 4096, 'model_type': 'llama', 'num_attention_heads': 32, 'num_hidden_layers': 32, 'num_key_value_heads': 32, 'pretraining_tp': 1, 'rms_norm_eps': 1e-05, 'rope_scaling': None, 'tie_word_embeddings': False, 'torch_dtype': 'float16', 'transformers_version': '4.32.0.dev0', 'use_cache': True, 'vocab_size': 32000, 'num_layers': 32, 'dim_model': 4096, 'num_heads': 32, 'num_kv_heads': 32, 'max_token': 4096, 'dim_ff': 11008, 'eps': 1e-05, 'activate_fn': 'silu', 'bfloat16': False, 'new_vocab': False}, dyn_batch_config=DynamicBatchConfig(max_batch=8, max_beam_size=4, task_queue_size=8, max_total_token=8192, seed=0, bos_id=0, eos_id=2, nccl=-1, rag_buffer=True), quant_config={'type': <QuantType.NoQuant: 0>}, memory_limit=0, enable_tensor_parallel=True, is_chatml=False, max_model_len=8192)
[DEV]Config: HIGH_PRECISION=1; DUAL_STREAM=None; CPM_FUSE_QKV=1; CPM_FUSE_FF_IN=1; REDUCE_TP_INT8_THRES=None; W4_INT8_ALGO=None; W4_FP8_ALGO=None
dist_config: parallel=True
********* world_size=1, nccl_version=22005 *********
GS4845:1595021:1595021 [0] NCCL INFO Bootstrap : Using eno1:192.168.163.94<0>
GS4845:1595021:1595021 [0] NCCL INFO NET/Plugin : dlerror=libnccl-net.so: cannot open shared object file: No such file or directory No plugin found (libnccl-net.so), using internal implementation
GS4845:1595021:1595021 [0] NCCL INFO cudaDriverVersion 12040
NCCL version 2.20.5+cuda12.4
CC:90, mp_count:114, L2 Cache:50MB, Max Persistent L2:32000KB, max_smem:227KB
GS4845:1595021:1595114 [0] NCCL INFO Failed to open libibverbs.so[.1]
GS4845:1595021:1595114 [0] NCCL INFO NET/Socket : Using [0]eno1:192.168.163.94<0> [1]usb0:169.254.3.1<0> [2]veth38cb222:fe80::ac59:2dff:feab:9ba4%veth38cb222<0>
GS4845:1595021:1595114 [0] NCCL INFO Using non-device net plugin version 0
GS4845:1595021:1595114 [0] NCCL INFO Using network Socket
GS4845:1595021:1595114 [0] NCCL INFO comm 0x180f5050 rank 0 nranks 1 cudaDev 0 nvmlDev 0 busId e1000 commId 0x73a7388a9bd37b96 - Init START
GS4845:1595021:1595114 [0] NCCL INFO Setting affinity for GPU 0 to ffffffff,ffffffff,00000000,00000000,ffffffff,ffffffff,00000000,00000000
GS4845:1595021:1595114 [0] NCCL INFO comm 0x180f5050 rank 0 nRanks 1 nNodes 1 localRanks 1 localRank 0 MNNVL 0
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GS4845:1595021:1595114 [0] NCCL INFO Trees [0] -1/-1/-1->0->-1 [1] -1/-1/-1->0->-1 [2] -1/-1/-1->0->-1 [3] -1/-1/-1->0->-1 [4] -1/-1/-1->0->-1 [5] -1/-1/-1->0->-1 [6] -1/-1/-1->0->-1 [7] -1/-1/-1->0->-1 [8] -1/-1/-1->0->-1 [9] -1/-1/-1->0->-1 [10] -1/-1/-1->0->-1 [11] -1/-1/-1->0->-1 [12] -1/-1/-1->0->-1 [13] -1/-1/-1->0->-1 [14] -1/-1/-1->0->-1 [15] -1/-1/-1->0->-1 [16] -1/-1/-1->0->-1 [17] -1/-1/-1->0->-1 [18] -1/-1/-1->0->-1 [19] -1/-1/-1->0->-1 [20] -1/-1/-1->0->-1 [21] -1/-1/-1->0->-1 [22] -1/-1/-1->0->-1 [23] -1/-1/-1->0->-1 [24] -1/-1/-1->0->-1 [25] -1/-1/-1->0->-1 [26] -1/-1/-1->0->-1 [27] -1/-1/-1->0->-1 [28] -1/-1/-1->0->-1 [29] -1/-1/-1->0->-1 [30] -1/-1/-1->0->-1 [31] -1/-1/-1->0->-1
GS4845:1595021:1595114 [0] NCCL INFO P2P Chunksize set to 131072
GS4845:1595021:1595114 [0] NCCL INFO Connected all rings
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GS4845:1595021:1595114 [0] NCCL INFO 32 coll channels, 0 collnet channels, 0 nvls channels, 32 p2p channels, 32 p2p channels per peer
GS4845:1595021:1595114 [0] NCCL INFO comm 0x180f5050 rank 0 nranks 1 cudaDev 0 nvmlDev 0 busId e1000 commId 0x73a7388a9bd37b96 - Init COMPLETE
Config(model_type=llama, num_layers=32, dim_model=4096, num_heads=32, num_kv_heads=32, dim_head=128, dim_ff=11008, vocab_size=32000, eps=1e-05, scale_weights=0, weight_transposed=0, dim_model_base=0, scale_depth=1, scale_emb=1, dtype=half, pos_bias_type=rotary, activate_fn=silu, rope_theta=10000, max_position_embeddings=4096)
Verify max_token failed! please adjust reserved_work_mem_mb to a bigger value.
Killed
卡是单张H100
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