[Bug]: base_model.model.score.weight is unsupported LoRA weight

[yi-livex]

Your current environment

The output of `python collect_env.py`

```text Collecting environment information... 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 11 (bullseye) (x86_64) GCC version: (Debian 10.2.1-6) 10.2.1 20210110 Clang version: Could not collect CMake version: version 3.30.2 Libc version: glibc-2.31 Python version: 3.10.13 | packaged by conda-forge | (main, Oct 26 2023, 18:07:37) [GCC 12.3.0] (64-bit runtime) Python platform: Linux-5.10.0-26-cloud-amd64-x86_64-with-glibc2.31 Is CUDA available: True CUDA runtime version: 12.1.105 CUDA_MODULE_LOADING set to: LAZY GPU models and configuration: GPU 0: NVIDIA A100-SXM4-80GB GPU 1: NVIDIA A100-SXM4-80GB Nvidia driver version: 535.86.10 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 Byte Order: Little Endian Address sizes: 46 bits physical, 48 bits virtual CPU(s): 24 On-line CPU(s) list: 0-23 Thread(s) per core: 2 Core(s) per socket: 12 Socket(s): 1 NUMA node(s): 1 Vendor ID: GenuineIntel CPU family: 6 Model: 85 Model name: Intel(R) Xeon(R) CPU @ 2.20GHz Stepping: 7 CPU MHz: 2200.230 BogoMIPS: 4400.46 Hypervisor vendor: KVM Virtualization type: full L1d cache: 384 KiB L1i cache: 384 KiB L2 cache: 12 MiB L3 cache: 38.5 MiB NUMA node0 CPU(s): 0-23 Vulnerability Gather data sampling: Not affected Vulnerability Itlb multihit: Not affected Vulnerability L1tf: Not affected Vulnerability Mds: Not affected Vulnerability Meltdown: Not affected Vulnerability Mmio stale data: Vulnerable: Clear CPU buffers attempted, no microcode; SMT Host state unknown Vulnerability Retbleed: Mitigation; Enhanced IBRS Vulnerability Spec rstack overflow: Not affected Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl and seccomp Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization Vulnerability Spectre v2: Mitigation; Enhanced IBRS, IBPB conditional, RSB filling, PBRSB-eIBRS SW sequence Vulnerability Srbds: Not affected Vulnerability Tsx async abort: Vulnerable: Clear CPU buffers attempted, no microcode; SMT Host state unknown Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single ssbd ibrs ibpb stibp ibrs_enhanced fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm mpx avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves arat avx512_vnni md_clear arch_capabilities Versions of relevant libraries: [pip3] numpy==1.26.4 [pip3] nvidia-nccl-cu12==2.20.5 [pip3] pyzmq==26.1.0 [pip3] torch==2.4.0 [pip3] torchvision==0.19.0 [pip3] transformers==4.44.0 [pip3] triton==3.0.0 [conda] numpy 1.25.2 pypi_0 pypi [conda] nvidia-nccl-cu12 2.20.5 pypi_0 pypi [conda] pyzmq 24.0.1 pypi_0 pypi [conda] torch 2.3.1 pypi_0 pypi [conda] torch-model-archiver 0.11.1 pypi_0 pypi [conda] torchserve 0.11.1 pypi_0 pypi [conda] torchvision 0.18.1 pypi_0 pypi [conda] transformers 4.43.2 pypi_0 pypi [conda] triton 2.3.1 pypi_0 pypi ROCM Version: Could not collect Neuron SDK Version: N/A vLLM Version: 0.5.4@4db5176d9758b720b05460c50ace3c01026eb158 vLLM Build Flags: CUDA Archs: Not Set; ROCm: Disabled; Neuron: Disabled GPU Topology: GPU0 GPU1 CPU Affinity NUMA Affinity GPU NUMA ID GPU0 X NV12 0-23 N/A N/A GPU1 NV12 X 0-23 N/A 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

I was trying to deploy llama 3.1 8B Instruct with Lora adapters. The adapter_config is as follows: { "alpha_pattern": {}, "auto_mapping": null, "base_model_name_or_path": "meta-llama/Meta-Llama-3.1-8B-Instruct", "bias": "none", "fan_in_fan_out": false, "inference_mode": true, "init_lora_weights": true, "layer_replication": null, "layers_pattern": null, "layers_to_transform": null, "loftq_config": {}, "lora_alpha": 8, "lora_dropout": 0.05, "megatron_config": null, "megatron_core": "megatron.core", "modules_to_save": [ "classifier", "score" ], "peft_type": "LORA", "r": 16, "rank_pattern": {}, "revision": null, "target_modules": [ "v_proj", "q_proj", "o_proj", "gate_proj", "down_proj", "up_proj", "k_proj" ], "task_type": "SEQ_CLS", "use_dora": false, "use_rslora": false }

And the error I was getting is as follows: Exception in callback _log_task_completion(error_callback=>)(<Task finishe...422d failed')>) at /home/yiwang/yi-env/lib/python3.10/site-packages/vllm/engine/async_llm_engine.py:37 handle: <Handle _log_task_completion(error_callback=>)(<Task finishe...422d failed')>) at /home/yiwang/yi-env/lib/python3.10/site-packages/vllm/engine/async_llm_engine.py:37> Traceback (most recent call last): File "/home/lib/python3.10/site-packages/vllm/lora/worker_manager.py", line 94, in _load_adapter lora = self._lora_model_cls.from_local_checkpoint( File "/home/lib/python3.10/site-packages/vllm/lora/models.py", line 215, in from_local_checkpoint modulename, = parse_fine_tuned_lora_name(lora_module) File "/home/lib/python3.10/site-packages/vllm/lora/utils.py", line 113, in parse_fine_tuned_lora_name raise ValueError(f"{name} is unsupported LoRA weight") ValueError: base_model.model.score.weight is unsupported LoRA weight But I think those layers are supported for llama 3.1. Thx!

[yi-livex]

Update: realize might be using a model type with layers that are not supported by vllm yet