Adapter weights not found

[DeuceOfClubs]

! cd multi_token && python scripts/serve_model.py \
    --model_name_or_path mistralai/Mistral-7B-Instruct-v0.1 \
    --model_lora_path sshh12/Mistral-7B-LoRA-AudioCLAP \
    --port 7860

2024-02-25 00:08:32.729122: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2024-02-25 00:08:32.729175: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2024-02-25 00:08:32.730543: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2024-02-25 00:08:34.708616: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
/usr/local/lib/python3.10/dist-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
  return self.fget.__get__(instance, owner)()
INFO:root:Loading base model from mistralai/Mistral-7B-Instruct-v0.1 as 16 bits
Downloading shards: 100% 2/2 [00:00<00:00,  3.66it/s]
INFO:accelerate.utils.modeling:We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
Loading checkpoint shards: 100% 2/2 [01:05<00:00, 32.67s/it]
WARNING:root:Some parameters are on the meta device device because they were offloaded to the cpu.
INFO:root:Loading projector weights for ['audio_clap']
INFO:root:Loading pretrained weights: ['audio_clap_lmm_projector.mlps.0.0.weight', 'audio_clap_lmm_projector.mlps.0.0.bias', 'audio_clap_lmm_projector.mlps.0.2.weight', 'audio_clap_lmm_projector.mlps.0.2.bias', 'audio_clap_lmm_projector.mlps.1.0.weight', 'audio_clap_lmm_projector.mlps.1.0.bias', 'audio_clap_lmm_projector.mlps.1.2.weight', 'audio_clap_lmm_projector.mlps.1.2.bias', 'audio_clap_lmm_projector.mlps.2.0.weight', 'audio_clap_lmm_projector.mlps.2.0.bias', 'audio_clap_lmm_projector.mlps.2.2.weight', 'audio_clap_lmm_projector.mlps.2.2.bias', 'audio_clap_lmm_projector.mlps.3.0.weight', 'audio_clap_lmm_projector.mlps.3.0.bias', 'audio_clap_lmm_projector.mlps.3.2.weight', 'audio_clap_lmm_projector.mlps.3.2.bias', 'audio_clap_lmm_projector.mlps.4.0.weight', 'audio_clap_lmm_projector.mlps.4.0.bias', 'audio_clap_lmm_projector.mlps.4.2.weight', 'audio_clap_lmm_projector.mlps.4.2.bias']
INFO:root:Loading and merging LoRA weights from sshh12/Mistral-7B-LoRA-AudioCLAP
Traceback (most recent call last):
  File "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py", line 286, in hf_raise_for_status
    response.raise_for_status()
  File "/usr/local/lib/python3.10/dist-packages/requests/models.py", line 1021, in raise_for_status
    raise HTTPError(http_error_msg, response=self)
requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/sshh12/Mistral-7B-LoRA-AudioCLAP/resolve/main/adapter_model.bin

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

Traceback (most recent call last):
  File "/usr/local/lib/python3.10/dist-packages/peft/utils/save_and_load.py", line 307, in load_peft_weights
    filename = hf_hub_download(model_id, WEIGHTS_NAME, **hf_hub_download_kwargs)
  File "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py", line 118, in _inner_fn
    return fn(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py", line 1238, in hf_hub_download
    metadata = get_hf_file_metadata(
  File "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py", line 118, in _inner_fn
    return fn(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py", line 1631, in get_hf_file_metadata
    r = _request_wrapper(
  File "/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py", line 385, in _request_wrapper
    response = _request_wrapper(
  File "/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py", line 409, in _request_wrapper
    hf_raise_for_status(response)
  File "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py", line 296, in hf_raise_for_status
    raise EntryNotFoundError(message, response) from e
huggingface_hub.utils._errors.EntryNotFoundError: 404 Client Error. (Request ID: Root=1-65da8557-336c3dff333e363725b1f3e0;9a03876c-65da-4c5b-b7e7-75f834f4ed81)

Entry Not Found for url: https://huggingface.co/sshh12/Mistral-7B-LoRA-AudioCLAP/resolve/main/adapter_model.bin.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/content/multi_token/scripts/serve_model.py", line 31, in <module>
    model, tokenizer = load_trained_lora_model(
  File "/content/multi_token/multi_token/inference.py", line 72, in load_trained_lora_model
    model = PeftModel.from_pretrained(model, model_lora_path)
  File "/usr/local/lib/python3.10/dist-packages/peft/peft_model.py", line 354, in from_pretrained
    model.load_adapter(model_id, adapter_name, is_trainable=is_trainable, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/peft/peft_model.py", line 695, in load_adapter
    adapters_weights = load_peft_weights(model_id, device=torch_device, **hf_hub_download_kwargs)
  File "/usr/local/lib/python3.10/dist-packages/peft/utils/save_and_load.py", line 309, in load_peft_weights
    raise ValueError(
ValueError: Can't find weights for sshh12/Mistral-7B-LoRA-AudioCLAP in sshh12/Mistral-7B-LoRA-AudioCLAP or in the Hugging Face Hub. Please check that the file adapter_model.bin or adapter_model.safetensors is present at sshh12/Mistral-7B-LoRA-AudioCLAP.

[sshh12]

Let me look into this -- tbh not super sure. I ran all the commands from the README at some point so seems like it disappeared.

[sshh12]

Still looking --

adapter_model.bin is in my upload script https://github.com/sshh12/multi_token/blob/main/scripts/upload_model.py

but don't see any edit logs on huggingface since uploading

[YoungKang1222]

I'm having this problem too.

python scripts/serve_model.py --model_name_or_path mistralai/Mistral-7B-Instruct-v0.1 --model_lora_path sshh12/Mistral-7B-LoRA-AudioWhisper --port 7860

`Traceback (most recent call last):
File "/home/work/user/miniconda3/envs/pytorch21/lib/python3.10/site-packages/huggingface_hub/utils/_errors.py", line 270, in hf_raise_for_status
response.raise_for_status()
File "/home/work/user/miniconda3/envs/pytorch21/lib/python3.10/site-packages/requests/models.py", line 1021, in raise_for_status
raise HTTPError(http_error_msg, response=self)
requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/sshh12/Mistral-7B-LoRA-AudioWhisper/resolve/main/adapter_model.bin

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

Traceback (most recent call last):
File "/home/work/user/miniconda3/envs/pytorch21/lib/python3.10/site-packages/peft/utils/save_and_load.py", line 315, in load_peft_weights
filename = hf_hub_download(model_id, WEIGHTS_NAME, **hf_hub_download_kwargs)
File "/home/work/user/miniconda3/envs/pytorch21/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 118, in _inner_fn
return fn(*args, **kwargs)
File "/home/work/user/miniconda3/envs/pytorch21/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1247, in hf_hub_download
metadata = get_hf_file_metadata(
File "/home/work/user/miniconda3/envs/pytorch21/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 118, in _inner_fn
return fn(*args, **kwargs)
File "/home/work/user/miniconda3/envs/pytorch21/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1624, in get_hf_file_metadata
r = _request_wrapper(
File "/home/work/user/miniconda3/envs/pytorch21/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 402, in _request_wrapper
response = _request_wrapper(
File "/home/work/user/miniconda3/envs/pytorch21/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 426, in _request_wrapper
hf_raise_for_status(response)
File "/home/work/user/miniconda3/envs/pytorch21/lib/python3.10/site-packages/huggingface_hub/utils/_errors.py", line 280, in hf_raise_for_status
raise EntryNotFoundError(message, response) from e
huggingface_hub.utils._errors.EntryNotFoundError: 404 Client Error. (Request ID: Root=1-65f4037a-5cfa0d754374dd62182e683d;4ef74d52-3103-46c1-a7df-0ec4f1b3299b)

Entry Not Found for url: https://huggingface.co/sshh12/Mistral-7B-LoRA-AudioWhisper/resolve/main/adapter_model.bin.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/home/work/user/projects/yangkang/multi_token/scripts/serve_model.py", line 31, in
model, tokenizer = load_trained_lora_model(
File "/home/work/user/projects/yangkang/multi_token/multi_token/inference.py", line 72, in load_trained_lora_model
model = PeftModel.from_pretrained(model, model_lora_path)
File "/home/work/user/miniconda3/envs/pytorch21/lib/python3.10/site-packages/peft/peft_model.py", line 353, in from_pretrained
model.load_adapter(model_id, adapter_name, is_trainable=is_trainable, **kwargs)
File "/home/work/user/miniconda3/envs/pytorch21/lib/python3.10/site-packages/peft/peft_model.py", line 694, in load_adapter
adapters_weights = load_peft_weights(model_id, device=torch_device, **hf_hub_download_kwargs)
File "/home/work/user/miniconda3/envs/pytorch21/lib/python3.10/site-packages/peft/utils/save_and_load.py", line 317, in load_peft_weights
raise ValueError(
ValueError: Can't find weights for sshh12/Mistral-7B-LoRA-AudioWhisper in sshh12/Mistral-7B-LoRA-AudioWhisper or in the Hugging Face Hub. Please check that the file adapter_model.bin or adapter_model.safetensors is present at sshh12/Mistral-7B-LoRA-AudioWhisper.`

[linchen111]

requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/sshh12/Mistral-7B-LoRA-AudioCLAP/resolve/main/adapter_model.bin

Still looking -- 还在寻找 -

adapter_model.bin is in my upload script https://github.com/sshh12/multi_token/blob/main/scripts/upload_model.py adapter_model.bin 在我的上传脚本中 https://github.com/sshh12/multi_token/blob/main/scripts/upload_model.py

but don't see any edit logs on huggingface since uploading但自从上传后在huggingface上没有看到任何编辑日志

still no file

[sshh12]

Yeah still not sure. Might just update the README to show that pre-trained models are no longer available ):

[annabeth97c]

Any chance you have some back up and might be able to upload them back again? 🥲

[linchen111]

Any chance you have some back up and might be able to upload them back again? 🥲

+1

[sshh12]

I think I figured out what happened -- I believe at some point my peft training scripts started producing adapter_model.safetensors rather than adapter_model.bin and I didn't notice. My upload scripts ignored the safetensors file but it existed locally when I created the demos in the README. I then later deleted several of these from my local disk (including the only copy of adapter_model.safetensors ) b/c of how much space these took up and assuming they were in huggingface.

I think I was able to find and recover (just fixed but haven't tested):

• https://huggingface.co/sshh12/Mistral-7B-LoRA-Multi-VisionCLIPPool-LLAVA/tree/main
• https://huggingface.co/sshh12/Mistral-7B-LoRA-XCLIP/tree/main (pretrain only)

And these ones should be unaffected and still work:

• https://huggingface.co/sshh12/Mistral-7B-LoRA-ImageBind-LLAVA
• https://huggingface.co/sshh12/Mistral-7B-LoRA-DocumentGTE-260K-x128/tree/main
• https://huggingface.co/sshh12/Mistral-7B-LoRA-DocumentGTE-16K-x8/tree/main
• https://huggingface.co/sshh12/Mistral-7B-LoRA-VisionCLIP-LLAVA/tree/main

So it's really all the audio ones that are really lost. Anyone with a GPU should be able to replicate with the dataset scripts (https://github.com/sshh12/multi_token/tree/main/scripts) and code in this repo. I also have copies of the datasets private on huggingface if you struggle to get those working.

If you don't have the ability to train a new model and really want an audio one, create a new issue for the specific model and if there's enough interest, I'll retrain. It can be pretty $$$ so will not do this unless its heavily requested.

[linchen111]

I think I figured out what happened -- I believe at some point my peft training scripts started producing adapter_model.safetensors rather than adapter_model.bin and I didn't notice. My upload scripts ignored the safetensors file but it existed locally when I created the demos in the README. I then later deleted several of these from my local disk (including the only copy of adapter_model.safetensors ) b/c of how much space these took up and assuming they were in huggingface.

I think I was able to find and recover (just fixed but haven't tested):

• https://huggingface.co/sshh12/Mistral-7B-LoRA-Multi-VisionCLIPPool-LLAVA/tree/main
• https://huggingface.co/sshh12/Mistral-7B-LoRA-XCLIP/tree/main (pretrain only)

And these ones should be unaffected and still work:

• https://huggingface.co/sshh12/Mistral-7B-LoRA-ImageBind-LLAVA
• https://huggingface.co/sshh12/Mistral-7B-LoRA-DocumentGTE-260K-x128/tree/main
• https://huggingface.co/sshh12/Mistral-7B-LoRA-DocumentGTE-16K-x8/tree/main
• https://huggingface.co/sshh12/Mistral-7B-LoRA-VisionCLIP-LLAVA/tree/main

So it's really all the audio ones that are really lost. Anyone with a GPU should be able to replicate with the dataset scripts (https://github.com/sshh12/multi_token/tree/main/scripts) and code in this repo. I also have copies of the datasets private on huggingface if you struggle to get those working.

If you don't have the ability to train a new model and really want an audio one, create a new issue for the specific model and if there's enough interest, I'll retrain. It can be pretty $$$ so will not do this unless its heavily requested.

Thanks