ayoubkirouane / Mistral-7b-DZ_Startups

huggingface.co
Total runs: 2
24-hour runs: 0
7-day runs: 1
30-day runs: 1
Model's Last Updated: October 02 2023
text-generation

Introduction of Mistral-7b-DZ_Startups

Model Details of Mistral-7b-DZ_Startups

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")

Runs of ayoubkirouane Mistral-7b-DZ_Startups on huggingface.co

2
Total runs
0
24-hour runs
0
3-day runs
1
7-day runs
1
30-day runs

More Information About Mistral-7b-DZ_Startups huggingface.co Model

More Mistral-7b-DZ_Startups license Visit here:

https://choosealicense.com/licenses/apache-2.0

Mistral-7b-DZ_Startups huggingface.co

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Mistral-7b-DZ_Startups huggingface.co Url

https://huggingface.co/ayoubkirouane/Mistral-7b-DZ_Startups

ayoubkirouane Mistral-7b-DZ_Startups online free

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ayoubkirouane Mistral-7b-DZ_Startups online free url in huggingface.co:

https://huggingface.co/ayoubkirouane/Mistral-7b-DZ_Startups

Mistral-7b-DZ_Startups install

Mistral-7b-DZ_Startups is an open source model from GitHub that offers a free installation service, and any user can find Mistral-7b-DZ_Startups on GitHub to install. At the same time, huggingface.co provides the effect of Mistral-7b-DZ_Startups install, users can directly use Mistral-7b-DZ_Startups installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Mistral-7b-DZ_Startups install url in huggingface.co:

https://huggingface.co/ayoubkirouane/Mistral-7b-DZ_Startups

Url of Mistral-7b-DZ_Startups

Mistral-7b-DZ_Startups huggingface.co Url

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