README.md

metadata

language:
  - en
  - fr
  - de
  - es
  - it
  - pt
  - ru
  - zh
  - ja
license: apache-2.0
base_model: mistralai/Mistral-Nemo-Instruct-2407
extra_gated_description: >-
  If you want to learn more about how we process your personal data, please read
  our <a href="https://mistral.ai/terms/">Privacy Policy</a>.
tags:
  - Text Generation
  - Transformers
  - Safetensors
  - conversational
  - text-generation-inference
  - Inference Endpoints
  - abliterated
  - uncensored

huihui-ai/Mistral-Nemo-Instruct-2407-abliterated

his is an uncensored version of mistralaiMistral-Nemo-Instruct-2407 created with abliteration (see remove-refusals-with-transformers to know more about it).

If the desired result is not achieved, you can clear the conversation and try again.

Transformers

NOTE: Until a new release has been made, you need to install transformers from source:

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

If you want to use Hugging Face transformers to generate text, you can do something like this.

from transformers import pipeline

messages = [
    {"role": "system", "content": "You are a pirate chatbot who always responds in pirate speak!"},
    {"role": "user", "content": "Who are you?"},
]
chatbot = pipeline("text-generation", model="mistralai/Mistral-Nemo-Instruct-2407-abliterated",max_new_tokens=128)
chatbot(messages)