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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]: Issue when loading Mistral-Nemo-Instruct-2407-Q5_K_M #537

Closed wereretot closed 2 months ago

wereretot commented 3 months ago

Your current environment

PyTorch version: 2.3.0+cu121
Is debug build: False
CUDA used to build PyTorch: 12.1
ROCM used to build PyTorch: N/A
OS: Manjaro Linux (x86_64)
GCC version: (GCC) 14.1.1 20240522
Clang version: 17.0.6
CMake version: version 3.30.0
Libc version: glibc-2.39
Python version: 3.11.8 | packaged by conda-forge | (main, Feb 16 2024, 20:53:32) [GCC 12.3.0] (64-bit runtime)
Python platform: Linux-6.9.3-3-MANJARO-x86_64-with-glibc2.39
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: 550.90.07
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:                        48 bits physical, 48 bits virtual
Byte Order:                           Little Endian
CPU(s):                               16
On-line CPU(s) list:                  0-15
Vendor ID:                            AuthenticAMD
Model name:                           AMD Ryzen 7 5800X 8-Core Processor
CPU family:                           25
Model:                                33
Thread(s) per core:                   2
Core(s) per socket:                   8
Socket(s):                            1
Stepping:                             2
Frequency boost:                      enabled
CPU(s) scaling MHz:                   77%
CPU max MHz:                          4850.1948
CPU min MHz:                          2200.0000
BogoMIPS:                             7588.54
Flags:                                fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid extd_apicid aperfmperf rapl pni pclmulqdq monitor ssse3 fma cx16 sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpb cat_l3 cdp_l3 hw_pstate ssbd mba ibrs ibpb stibp vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local user_shstk clzero irperf xsaveerptr rdpru wbnoinvd arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif v_spec_ctrl umip pku ospke vaes vpclmulqdq rdpid overflow_recov succor smca fsrm debug_swap
L1d cache:                            256 KiB (8 instances)
L1i cache:                            256 KiB (8 instances)
L2 cache:                             4 MiB (8 instances)
L3 cache:                             32 MiB (1 instance)
NUMA node(s):                         1
NUMA node0 CPU(s):                    0-15
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:        Not affected
Vulnerability Reg file data sampling: Not affected
Vulnerability Retbleed:               Not affected
Vulnerability Spec rstack overflow:   Mitigation; Safe RET
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; Retpolines; IBPB conditional; IBRS_FW; STIBP always-on; RSB filling; PBRSB-eIBRS Not affected; BHI Not affected
Vulnerability Srbds:                  Not affected
Vulnerability Tsx async abort:        Not affected
Versions of relevant libraries:
[pip3] numpy==1.26.4
[pip3] torch==2.3.0
[pip3] triton==2.3.0
[conda] numpy                     1.26.4                   pypi_0    pypi
[conda] torch                     2.3.0                    pypi_0    pypi
[conda] triton                    2.3.0                    pypi_0    pypiROCM Version: Could not collect 
Aphrodite Version: 0.5.3
Aphrodite Build Flags:
CUDA Archs: Not Set; ROCm: Disabled

🐛 Describe the bug

mamba activate aphrodite-engine aphrodite run '/home/rexommendation/Programs/koboldcpp/model/GGUF/Mistral-Nemo-Instruct-2407-Q5_K_M.gguf'

It throws this error when loading

INFO: Extracting config from GGUF... WARNING: gguf quantization is not fully optimized yet. The speed can be slower than non-quantized models. INFO: Initializing the Aphrodite Engine (v0.5.3) with the following config: INFO: Model = '/home/rexommendation/Programs/koboldcpp/model/GGUF/Mistral-Nemo-Instruct-2407-Q5_K_M.gguf' INFO: Speculative Config = None INFO: DataType = torch.float16 INFO: Model Load Format = auto INFO: Number of GPUs = 1 INFO: Disable Custom All-Reduce = False INFO: Quantization Format = gguf INFO: Context Length = 1024000 INFO: Enforce Eager Mode = True INFO: KV Cache Data Type = auto INFO: KV Cache Params Path = None INFO: Device = cuda INFO: Guided Decoding Backend = DecodingConfig(guided_decoding_backend='outlines') INFO: Converting tokenizer from GGUF... Traceback (most recent call last): File "/home/rexommendation/miniforge3/envs/aphrodite-engine/bin/aphrodite", line 8, in sys.exit(main()) ^^^^^^ File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/aphrodite/endpoints/cli.py", line 25, in main args.func(args) File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/aphrodite/endpoints/openai/api_server.py", line 519, in run_server engine = AsyncAphrodite.from_engine_args(engine_args) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/aphrodite/engine/async_aphrodite.py", line 358, in from_engine_args engine = cls(engine_config.parallel_config.worker_use_ray, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/aphrodite/engine/async_aphrodite.py", line 323, in init self.engine = self._init_engine(*args, *kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/aphrodite/engine/async_aphrodite.py", line 429, in _init_engine return engine_class(args, kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/aphrodite/engine/aphrodite_engine.py", line 125, in init self._init_tokenizer() File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/aphrodite/engine/aphrodite_engine.py", line 246, in _init_tokenizer self.tokenizer: BaseTokenizerGroup = get_tokenizer_group( ^^^^^^^^^^^^^^^^^^^^ File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/aphrodite/transformers_utils/tokenizer_group/init.py", line 20, in get_tokenizer_group return TokenizerGroup(init_kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/aphrodite/transformers_utils/tokenizer_group/tokenizer_group.py", line 23, in init self.tokenizer = get_tokenizer(self.tokenizer_id, **tokenizer_config) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/aphrodite/transformers_utils/tokenizer.py", line 136, in get_tokenizer return convert_gguf_to_tokenizer(tokenizer_name) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/aphrodite/transformers_utils/tokenizer.py", line 44, in convert_gguf_to_tokenizer scores = result.fields['tokenizer.ggml.scores']


KeyError: 'tokenizer.ggml.scores'
sgsdxzy commented 3 months ago

The tokenizer isn't a LlamaTokenizer, you need to specify --tokenizer (to the original 16-bit repo)

wereretot commented 3 months ago

aphrodite run '/home/rexommendation/Programs/koboldcpp/model/GGUF/Mistral-Nemo-Instruct-2407' --tokenizer Mistral-Nemo-Instruct-2407 INFO: Initializing the Aphrodite Engine (v0.5.3) with the following config: INFO: Model = '/home/rexommendation/Programs/koboldcpp/model/GGUF/Mistral-Nemo-Instruct-2407' INFO: Speculative Config = None INFO: DataType = torch.bfloat16 INFO: Model Load Format = auto INFO: Number of GPUs = 1 INFO: Disable Custom All-Reduce = False INFO: Quantization Format = None INFO: Context Length = 1024000 INFO: Enforce Eager Mode = True INFO: KV Cache Data Type = auto INFO: KV Cache Params Path = None INFO: Device = cuda INFO: Guided Decoding Backend = DecodingConfig(guided_decoding_backend='outlines') /home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/huggingface_hub/file_download.py:1150: FutureWarning: resume_download is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use force_download=True. warnings.warn( Traceback (most recent call last): File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/huggingface_hub/utils/_errors.py", line 304, in hf_raise_for_status response.raise_for_status() File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/requests/models.py", line 1024, in raise_for_status raise HTTPError(http_error_msg, response=self) requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/Mistral-Nemo-Instruct-2407/resolve/main/tokenizer_config.json

The above exception was the direct cause of the following exception:

Traceback (most recent call last): File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/transformers/utils/hub.py", line 398, in cached_file resolved_file = hf_hub_download( ^^^^^^^^^^^^^^^^ File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/huggingface_hub/utils/_deprecation.py", line 101, in inner_f return f(*args, kwargs) ^^^^^^^^^^^^^^^^^^ File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn return fn(*args, *kwargs) ^^^^^^^^^^^^^^^^^^^ File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/huggingface_hub/file_download.py", line 1240, in hf_hub_download return _hf_hub_download_to_cache_dir( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/huggingface_hub/file_download.py", line 1347, in _hf_hub_download_to_cache_dir _raise_on_head_call_error(head_call_error, force_download, local_files_only) File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/huggingface_hub/file_download.py", line 1854, in _raise_on_head_call_error raise head_call_error File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/huggingface_hub/file_download.py", line 1751, in _get_metadata_or_catch_error metadata = get_hf_file_metadata( ^^^^^^^^^^^^^^^^^^^^^ File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn return fn(args, kwargs) ^^^^^^^^^^^^^^^^^^^ File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/huggingface_hub/file_download.py", line 1673, in get_hf_file_metadata r = _request_wrapper( ^^^^^^^^^^^^^^^^^ File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/huggingface_hub/file_download.py", line 376, in _request_wrapper response = _request_wrapper( ^^^^^^^^^^^^^^^^^ File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/huggingface_hub/file_download.py", line 400, in _request_wrapper hf_raise_for_status(response) File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/huggingface_hub/utils/_errors.py", line 352, in hf_raise_for_status raise RepositoryNotFoundError(message, response) from e huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-669a6ab0-70356bef40d00edf5dc263b5;e46834bb-8d4a-4e76-8f8d-e3af6ce380b8)

Repository Not Found for url: https://huggingface.co/Mistral-Nemo-Instruct-2407/resolve/main/tokenizer_config.json. Please make sure you specified the correct repo_id and repo_type. If you are trying to access a private or gated repo, make sure you are authenticated.

The above exception was the direct cause of the following exception:

Traceback (most recent call last): File "/home/rexommendation/miniforge3/envs/aphrodite-engine/bin/aphrodite", line 8, in sys.exit(main()) ^^^^^^ File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/aphrodite/endpoints/cli.py", line 25, in main args.func(args) File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/aphrodite/endpoints/openai/api_server.py", line 519, in run_server engine = AsyncAphrodite.from_engine_args(engine_args) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/aphrodite/engine/async_aphrodite.py", line 358, in from_engine_args engine = cls(engine_config.parallel_config.worker_use_ray, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/aphrodite/engine/async_aphrodite.py", line 323, in init self.engine = self._init_engine(*args, *kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/aphrodite/engine/async_aphrodite.py", line 429, in _init_engine return engine_class(args, kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/aphrodite/engine/aphrodite_engine.py", line 125, in init self._init_tokenizer() File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/aphrodite/engine/aphrodite_engine.py", line 246, in _init_tokenizer self.tokenizer: BaseTokenizerGroup = get_tokenizer_group( ^^^^^^^^^^^^^^^^^^^^ File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/aphrodite/transformers_utils/tokenizer_group/init.py", line 20, in get_tokenizer_group return TokenizerGroup(init_kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/aphrodite/transformers_utils/tokenizer_group/tokenizer_group.py", line 23, in init self.tokenizer = get_tokenizer(self.tokenizer_id, tokenizer_config) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/aphrodite/transformers_utils/tokenizer.py", line 145, in get_tokenizer tokenizer = AutoTokenizer.from_pretrained( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/transformers/models/auto/tokenization_auto.py", line 804, in from_pretrained tokenizer_config = get_tokenizer_config(pretrained_model_name_or_path, kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/transformers/models/auto/tokenization_auto.py", line 637, in get_tokenizer_config resolved_config_file = cached_file( ^^^^^^^^^^^^ File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/transformers/utils/hub.py", line 421, in cached_file raise EnvironmentError( OSError: Mistral-Nemo-Instruct-2407 is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' If this is a private repository, make sure to pass a token having permission to this repo either by logging in with huggingface-cli login or by passing token=<your_token>

wereretot commented 3 months ago

When I use this command it gives me this error for each temp file aphrodite run 'https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407'  1 ✘  3s   aphrodite-engine   system  /home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/transformers/utils/hub.py:580: FutureWarning: Using from_pretrained with the url of a file (here https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407) is deprecated and won't be possible anymore in v5 of Transformers. You should host your file on the Hub (hf.co) instead and use the repository ID. Note that this is not compatible with the caching system (your file will be downloaded at each execution) or multiple processes (each process will download the file in a different temporary file). warnings.warn( (…).co/mistralai/Mistral-Nemo-Instruct-2407: 100%|████████████████████████████████████████████████████████████████████████| 135k/135k [00:00<00:00, 989kB/s] Traceback (most recent call last): File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/transformers/configuration_utils.py", line 716, in _get_config_dict config_dict = cls._dict_from_json_file(resolved_config_file) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/transformers/configuration_utils.py", line 815, in _dict_from_json_file return json.loads(text) ^^^^^^^^^^^^^^^^ File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/json/init.py", line 346, in loads return _default_decoder.decode(s) ^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/json/decoder.py", line 337, in decode obj, end = self.raw_decode(s, idx=_w(s, 0).end()) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/json/decoder.py", line 355, in raw_decode raise JSONDecodeError("Expecting value", s, err.value) from None json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "/home/rexommendation/miniforge3/envs/aphrodite-engine/bin/aphrodite", line 8, in sys.exit(main()) ^^^^^^ File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/aphrodite/endpoints/cli.py", line 25, in main args.func(args) File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/aphrodite/endpoints/openai/api_server.py", line 519, in run_server engine = AsyncAphrodite.from_engine_args(engine_args) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/aphrodite/engine/async_aphrodite.py", line 340, in from_engine_args engine_config = engine_args.create_engine_config() ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/aphrodite/engine/args_tools.py", line 539, in create_engine_config model_config = ModelConfig( ^^^^^^^^^^^^ File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/aphrodite/common/config.py", line 137, in init self.hf_config = get_config(self.model, trust_remote_code, revision, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/aphrodite/transformers_utils/config.py", line 109, in get_config config = AutoConfig.from_pretrained( ^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/transformers/models/auto/configuration_auto.py", line 928, in from_pretrained config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/transformers/configuration_utils.py", line 631, in get_config_dict config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/rexommendation/miniforge3/envs/aphrodite-engine/lib/python3.11/site-packages/transformers/configuration_utils.py", line 719, in _get_config_dict raise EnvironmentError( OSError: It looks like the config file at '/tmp/tmpgs5yez8h' is not a valid JSON file.

miku448 commented 3 months ago

@AlpinDale I'm unable to run Nemo fp16 in aphrodite. this is the error I'm getting:

[rank0]: ValueError: Head size 160 is not supported by PagedAttention. Supported head sizes are: [64, 80, 96, 112, 128, 256].
(RayWorkerAphrodite pid=58123) ERROR:    Error executing method load_model. This might cause deadlock in distributed execution.

I was able to run it with VLLM however. I think they were having the same issue and they fixed it here: https://github.com/vllm-project/vllm/pull/6548

Edit: ok I was able to run it with those changes in aphrodite. I can open a pull request for it.

AlpinDale commented 2 months ago

Fixed as of v0.6.0