# OSError: Can't load the model 'meta-llama/Llama-2-7b-chat-hf'. If you were trying to load it from 'https://huggingface.co/models', make sure you have access to the model and are logged in.

- **ID:** `llm/huggingface-model-not-found`
- **Domain:** llm
- **Category:** auth_error
- **Verification:** ai_generated
- **Fix Rate:** 85%

## Root Cause

The model is gated or requires authentication, and the user is not logged in to Hugging Face Hub, or the access token is missing or invalid.

## Version Compatibility

| Version | Status | Introduced | Deprecated |
|---------|--------|------------|------------|
| transformers>=4.30.0 | active | — | — |
| huggingface-hub>=0.16.0 | active | — | — |

## Workarounds

1. **Log in to Hugging Face Hub using a valid access token:
from huggingface_hub import login
login(token='hf_your_token_here')

# Then load the model
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained('meta-llama/Llama-2-7b-chat-hf')** (95% success)
   ```
   Log in to Hugging Face Hub using a valid access token:
from huggingface_hub import login
login(token='hf_your_token_here')

# Then load the model
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained('meta-llama/Llama-2-7b-chat-hf')
   ```
2. **Set the token as an environment variable before running the script:
export HUGGINGFACE_TOKEN='hf_your_token_here'
# In Python
import os
from huggingface_hub import login
login(token=os.getenv('HUGGINGFACE_TOKEN'))** (90% success)
   ```
   Set the token as an environment variable before running the script:
export HUGGINGFACE_TOKEN='hf_your_token_here'
# In Python
import os
from huggingface_hub import login
login(token=os.getenv('HUGGINGFACE_TOKEN'))
   ```

## Dead Ends

- **** — Even local loading may require token verification for gated models; the license must be accepted first. (60% fail)
- **** — The token must have explicit permission for the model; a generic token without granted access fails. (50% fail)