TheBloke

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Wizard-Vicuna-13B-Uncensored-GPTQ

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Hi there I'm trying to run an instance of this model on google colab with the below code

from transformers import AutoTokenizer, TextGenerationPipeline
from auto_gptq import AutoGPTQForCausalLM, BaseQuantizeConfig
import logging

quantized_model_dir = "/content/drive/MyDrive/Wizard-Vicuna-13B-Uncensored-GPTQ"

tokenizer = AutoTokenizer.from_pretrained(quantized_model_dir, use_fast=True)

try:
   quantize_config = BaseQuantizeConfig.from_pretrained(quantized_model_dir)
except:
    quantize_config = BaseQuantizeConfig(
            bits=4,
            group_size=128
        )
    
# download quantized model from Hugging Face Hub and load to the first GPU
model = AutoGPTQForCausalLM.from_quantized(
    quantized_model_dir, 
    device="cuda:0", 
    use_safetensors=True, 
    use_triton=False, 
    quantize_config=quantize_config
    )

pipeline = TextGenerationPipeline(model=model, tokenizer=tokenizer)

print(pipeline("auto-gptq is")[0]["generated_text"])

However regardless of whether I set the quantized_model_dir as a location in my drive or in the temporary file location it will always return with the below traceback:

─────────────────────────────── Traceback (most recent call last) ────────────────────────────────╮
│ in <cell line: 18>:18                                                                            │
│                                                                                                  │
│ /usr/local/lib/python3.10/dist-packages/auto_gptq/modeling/auto.py:82 in from_quantized          │
│                                                                                                  │
│    79 │   │   model_type = check_and_get_model_type(save_dir or model_name_or_path, trust_remo   │
│    80 │   │   quant_func = GPTQ_CAUSAL_LM_MODEL_MAP[model_type].from_quantized                   │
│    81 │   │   keywords = {key: kwargs[key] for key in signature(quant_func).parameters if key    │
│ ❱  82 │   │   return quant_func(                                                                 │
│    83 │   │   │   model_name_or_path=model_name_or_path,                                         │
│    84 │   │   │   save_dir=save_dir,                                                             │
│    85 │   │   │   device_map=device_map,                                                         │
│                                                                                                  │
│ /usr/local/lib/python3.10/dist-packages/auto_gptq/modeling/_base.py:698 in from_quantized        │
│                                                                                                  │
│   695 │   │   │   │   │   break                                                                  │
│   696 │   │                                                                                      │
│   697 │   │   if resolved_archive_file is None: # Could not find a model file to use             │
│ ❱ 698 │   │   │   raise FileNotFoundError(f"Could not find model in {model_name_or_path}")       │
│   699 │   │                                                                                      │
│   700 │   │   model_save_name = resolved_archive_file                                            │
│   701                                                                                            │
╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
FileNotFoundError: Could not find model in /content/drive/MyDrive/Wizard-Vicuna-13B-Uncensored-GPTQ

I've made sure I downloaded all the files from huggingface (including the tokenizer_config.json file) and have them in my drive.

Does anyone know why it won't detect the model?