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PygmalionAI / aphrodite-engine

Large-scale LLM inference engine
https://aphrodite.pygmalion.chat
GNU Affero General Public License v3.0
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[Bug]: unable to load 14B Qwen2.5 GGUF with newest version (0.6.2.post1) #789

Open NeoChen1024 opened 1 month ago

NeoChen1024 commented 1 month ago

Your current environment

The output of `python env.py` ``` Collecting environment information... WARNING: Failed to import from aphrodite._C with No module named 'aphrodite._C' PyTorch version: 2.4.0+cu121 Is debug build: False CUDA used to build PyTorch: 12.1 ROCM used to build PyTorch: N/A OS: Debian GNU/Linux 12 (bookworm) (x86_64) GCC version: (Debian 12.2.0-14) 12.2.0 Clang version: Could not collect CMake version: version 3.25.1 Libc version: glibc-2.36 Python version: 3.11.2 (main, Aug 26 2024, 07:20:54) [GCC 12.2.0] (64-bit runtime) Python platform: Linux-6.1.0-26-amd64-x86_64-with-glibc2.36 Is CUDA available: True CUDA runtime version: 11.8.89 CUDA_MODULE_LOADING set to: LAZY GPU models and configuration: GPU 0: Tesla P40 Nvidia driver version: 535.183.01 cuDNN version: Could not collect HIP runtime version: N/A MIOpen runtime version: N/A Is XNNPACK available: True CPU: Architecture: x86_64 CPU op-mode(s): 32-bit, 64-bit Address sizes: 39 bits physical, 48 bits virtual Byte Order: Little Endian CPU(s): 8 On-line CPU(s) list: 0-7 Vendor ID: GenuineIntel Model name: Intel(R) Core(TM) i7-7700 CPU @ 3.60GHz CPU family: 6 Model: 158 Thread(s) per core: 2 Core(s) per socket: 4 Socket(s): 1 Stepping: 9 CPU(s) scaling MHz: 96% CPU max MHz: 4200.0000 CPU min MHz: 800.0000 BogoMIPS: 7200.00 Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor ds_cpl smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault invpcid_single pti ssbd ibrs ibpb stibp fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid mpx rdseed adx smap clflushopt intel_pt xsaveopt xsavec xgetbv1 xsaves dtherm ida arat pln pts hwp hwp_notify hwp_act_window hwp_epp md_clear flush_l1d arch_capabilities L1d cache: 128 KiB (4 instances) L1i cache: 128 KiB (4 instances) L2 cache: 1 MiB (4 instances) L3 cache: 8 MiB (1 instance) NUMA node(s): 1 NUMA node0 CPU(s): 0-7 Vulnerability Gather data sampling: Mitigation; Microcode Vulnerability Itlb multihit: KVM: Mitigation: VMX unsupported Vulnerability L1tf: Mitigation; PTE Inversion Vulnerability Mds: Mitigation; Clear CPU buffers; SMT vulnerable Vulnerability Meltdown: Mitigation; PTI Vulnerability Mmio stale data: Mitigation; Clear CPU buffers; SMT vulnerable Vulnerability Reg file data sampling: Not affected Vulnerability Retbleed: Mitigation; IBRS Vulnerability Spec rstack overflow: Not affected Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization Vulnerability Spectre v2: Mitigation; IBRS; IBPB conditional; STIBP conditional; RSB filling; PBRSB-eIBRS Not affected; BHI Not affected Vulnerability Srbds: Mitigation; Microcode Vulnerability Tsx async abort: Mitigation; TSX disabled Versions of relevant libraries: [pip3] numpy==1.26.4 [pip3] nvidia-nccl-cu12==2.20.5 [pip3] pyzmq==26.2.0 [pip3] torch==2.4.0 [pip3] torchvision==0.19.0 [pip3] transformers==4.45.2 [pip3] triton==3.0.0 [conda] Could not collect ROCM Version: Could not collect Neuron SDK Version: N/A Aphrodite Version: 0.6.2 Aphrodite Build Flags: CUDA Archs: Not Set; ROCm: Disabled; Neuron: Disabled GPU Topology: GPU0 CPU Affinity NUMA Affinity GPU NUMA ID GPU0 X 0-7 0 N/A Legend: X = Self SYS = Connection traversing PCIe as well as the SMP interconnect between NUMA nodes (e.g., QPI/UPI) NODE = Connection traversing PCIe as well as the interconnect between PCIe Host Bridges within a NUMA node PHB = Connection traversing PCIe as well as a PCIe Host Bridge (typically the CPU) PXB = Connection traversing multiple PCIe bridges (without traversing the PCIe Host Bridge) PIX = Connection traversing at most a single PCIe bridge NV# = Connection traversing a bonded set of # NVLinks ```

🐛 Describe the bug

It couldn't load Qwen2.5-based GGUF. For example: https://huggingface.co/SakuraLLM/Sakura-14B-Qwen2.5-v1.0-GGUF/blob/main/sakura-14b-qwen2.5-v1.0-q4km.gguf

backtrace:

⠋ Loading modules... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━   0/917   0% 0:00:00
Process SpawnProcess-1:
Traceback (most recent call last):
  File "/usr/lib/python3.11/multiprocessing/process.py", line 314, in _bootstrap
    self.run()
  File "/usr/lib/python3.11/multiprocessing/process.py", line 108, in run
    self._target(*self._args, **self._kwargs)
  File "/home/user/aphrodite-venv/lib/python3.11/site-packages/aphrodite/endpoints/openai/rpc/server.py", line 209, in run_rpc_server
    server = AsyncEngineRPCServer(async_engine_args, rpc_path)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/user/aphrodite-venv/lib/python3.11/site-packages/aphrodite/endpoints/openai/rpc/server.py", line 24, in __init__
    self.engine = AsyncAphrodite.from_engine_args(async_engine_args)
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/user/aphrodite-venv/lib/python3.11/site-packages/aphrodite/engine/async_aphrodite.py", line 601, in from_engine_args
    engine = cls(
             ^^^^
  File "/home/user/aphrodite-venv/lib/python3.11/site-packages/aphrodite/engine/async_aphrodite.py", line 510, in __init__
    self.engine = self._init_engine(*args, **kwargs)
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/user/aphrodite-venv/lib/python3.11/site-packages/aphrodite/engine/async_aphrodite.py", line 694, in _init_engine
    return engine_class(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/user/aphrodite-venv/lib/python3.11/site-packages/aphrodite/engine/aphrodite_engine.py", line 261, in __init__
    self.model_executor = executor_class(
                          ^^^^^^^^^^^^^^^
  File "/home/user/aphrodite-venv/lib/python3.11/site-packages/aphrodite/executor/executor_base.py", line 45, in __init__
    self._init_executor()
  File "/home/user/aphrodite-venv/lib/python3.11/site-packages/aphrodite/executor/gpu_executor.py", line 36, in _init_executor
    self.driver_worker.load_model()
  File "/home/user/aphrodite-venv/lib/python3.11/site-packages/aphrodite/task_handler/worker.py", line 153, in load_model
    self.model_runner.load_model()
  File "/home/user/aphrodite-venv/lib/python3.11/site-packages/aphrodite/task_handler/model_runner.py", line 888, in load_model
    self.model = get_model(model_config=self.model_config,
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/user/aphrodite-venv/lib/python3.11/site-packages/aphrodite/modeling/model_loader/__init__.py", line 20, in get_model
    return loader.load_model(model_config=model_config,
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/user/aphrodite-venv/lib/python3.11/site-packages/aphrodite/modeling/model_loader/loader.py", line 1035, in load_model
    model.load_weights(
  File "/home/user/aphrodite-venv/lib/python3.11/site-packages/aphrodite/modeling/models/qwen2.py", line 431, in load_weights
    param = params_dict[name]
            ~~~~~~~~~~~^^^^^^
KeyError: 'model.embed_tokens.qweight_type'
sorasoras commented 1 month ago

looks like it's not support Qwen2.5 yet with current py script. @AlpinDale After look deeper, it might have something to do with GGUF 0.10