Unable to use converted Llama 3.3 instruct model
Author: SRGAnalytics-MD
Pull request: no
Labels: name: bug

### System Info

Hi, I'm having issues loading a model (downloaded from meta) and converted using `convert_llama_weights_to_hf`.  This is the error I am receiving:  `cannot access local variable 'model' where it is not associated with a value`


Output of transformers-cli env
```
- `transformers` version: 4.49.0
- Platform: Linux-5.15.0-1072-aws-x86_64-with-glibc2.35
- Python version: 3.11.10
- Huggingface_hub version: 0.29.2
- Safetensors version: 0.5.3
- Accelerate version: 1.4.0
- Accelerate config: 	not found
- DeepSpeed version: not installed
- PyTorch version (GPU?): 2.6.0+cu124 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- JaxLib version: not installed
- Using distributed or parallel set-up in script?: Using Databricks Notebook, serverless cluster
```


### Who can help?

@ArthurZucker

### Information

- [ ] The official example scripts
- [ ] My own modified scripts

### Tasks

- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)

### Reproduction

Steps taken
1. Downloaded Llama3.3-70B-Instruct, `llama model download --source meta --model-id Llama3.3-70B-Instruct`

Files are:
checklist.chk
consolidated.00.pth
consolidated.01.pth
consolidated.02.pth
consolidated.03.pth
consolidated.04.pth
consolidated.05.pth
consolidated.06.pth
consolidated.07.pth
params.json
tokenizer.model

2. Downloaded and saved conversion script to local directory: `https://github.com/huggingface/transformers/blob/main/src/transformers/models/llama/convert_llama_weights_to_hf.py`

3. Convert files to Hugging Face, as per as per https://github.com/huggingface/transformers/issues/35326.

`!python convert_llama_weights_to_hf.py --input_dir /Volumes/dev/models/llama3_3_70b/llama3-3-70b/ --model_size 70B --output_dir /Volumes/dev/models/llama3_3_70b_hf --llama_version 3 --instruct`

Files in output_dir:
special_tokens_map.json
tokenizer_config.json
tokenizer.json

3. Attempt to load model, as per https://huggingface.co/docs/transformers/main/en/model_doc/llama3

```
from transformers import AutoModelForCausalLM, AutoTokenizer

hf_path = '/Volumes/dev/models/llama3_3_70b_hf/'

tokenizer = AutoTokenizer.from_pretrained(hf_path)
model = AutoModelForCausalLM.from_pretrained(hf_path)
```

Error: 

cannot access local variable 'model' where it is not associated with a value

OSError: Error no file named pytorch_model.bin, model.safetensors, tf_model.h5, model.ckpt.index or flax_model.msgpack found in directory /Volumes/dev/models/llama3_3_70b_hf/.
File <command-4437574323958902>, line 4
      1 from transformers import AutoModelForCausalLM, AutoTokenizer
      3 tokenizer = AutoTokenizer.from_pretrained(hf_path)
----> 4 model = AutoModelForCausalLM.from_pretrained(hf_path)
File /local_disk0/.ephemeral_nfs/envs/pythonEnv-64f42d2b-5704-4f18-af79-66f0e0b3c167/lib/python3.11/site-packages/transformers/modeling_utils.py:3808, in PreTrainedModel.from_pretrained(cls, pretrained_model_name_or_path, config, cache_dir, ignore_mismatched_sizes, force_download, local_files_only, token, revision, use_safetensors, weights_only, *model_args, **kwargs)
   3803         raise EnvironmentError(
   3804             f"Error no file named {_add_variant(SAFE_WEIGHTS_NAME, variant)} found in directory"
   3805             f" {pretrained_model_name_or_path}."
   3806         )
   3807     else:
-> 3808         raise EnvironmentError(
   3809             f"Error no file named {_add_variant(WEIGHTS_NAME, variant)}, {_add_variant(SAFE_WEIGHTS_NAME, variant)},"
   3810             f" {TF2_WEIGHTS_NAME}, {TF_WEIGHTS_NAME + '.index'} or {FLAX_WEIGHTS_NAME} found in directory"
   3811             f" {pretrained_model_name_or_path}."
   3812         )
   3813 elif os.path.isfile(os.path.join(subfolder, pretrained_model_name_or_path)):
   3814     archive_file = pretrained_model_name_or_path

### Expected behavior

No error!

Comments:
@SRGAnalytics-MD it seems like no model files exist in the converted directory - did the conversion script print any errors?

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