Mistral-7b-DZ_Startups

Model Information :

• Model Name: Mistral-7b-DZ_Startups
• Model Architecture: Mistral-7B-Instruct-v0.1
• Model Size: 7.3 billion parameters
• Fine-tuned on: Algerian Startups Dataset V1 by TuningAI Team

Limits :

• Sequence Length: Due to the use of Sliding Window Attention (SWA), the maximum sequence length may be limited. Ensure that your input data conforms to the model's sequence length restrictions.
• Language Support: The model's primary strength lies in English tasks, but it has been fine-tuned on Algerian Startups data, so its performance in English and code-related tasks may be more reliable.
• Fine-tuning Data: The model's performance is tied to the quality and diversity of the fine-tuning data. Results may vary on tasks unrelated to Algerian startups.

Ethics considerations :

• Bias Mitigation: Efforts have been made to reduce bias during fine-tuning, but it's essential to be aware of potential biases in the data and to evaluate model outputs critically.
• Fair Use: Please use this model responsibly and avoid generating content that may be harmful, unethical, or illegal.
• Data Privacy: Be cautious when using sensitive or personal data with this model, as it may inadvertently generate sensitive information.

Troubleshooting :

• If you see the following error:

Traceback (most recent call last):
File "", line 1, in
File "/transformers/models/auto/auto_factory.py", line 482, in from_pretrained
config, kwargs = AutoConfig.from_pretrained(
File "/transformers/models/auto/configuration_auto.py", line 1022, in from_pretrained
config_class = CONFIG_MAPPING[config_dict["model_type"]]
File "/transformers/models/auto/configuration_auto.py", line 723, in getitem
raise KeyError(key)
KeyError: 'mistral'

Installing transformers from source should solve the issue:

pip install git+https://github.com/huggingface/transformers

Notice :

Mistral 7B is a pretrained base model and therefore does not have any moderation mechanisms.

License

• Model License: Apache 2.0 License

Getting Started (with Peft):

from peft import PeftModel, PeftConfig
from transformers import AutoModelForCausalLM

config = PeftConfig.from_pretrained("ayoubkirouane/Mistral-7b-DZ_Startups")
model = AutoModelForCausalLM.from_pretrained("bn22/Mistral-7B-Instruct-v0.1-sharded")
model = PeftModel.from_pretrained(model, "ayoubkirouane/Mistral-7b-DZ_Startups")