---
title: mi7bUNC
canonical_url: "https://www.modelscope.ai/models/tomo2chin2/mi7bUNC"
md_url: "https://www.modelscope.ai/models/tomo2chin2/mi7bUNC.md"
repository: tomo2chin2/mi7bUNC
last_updated: 2026-06-05
license: apache-2.0
model_type:
  - mistral
architectures:
  - MistralForCausalLM
parameters: 7.2B
tensor_type:
  - BF16
library_name:
  - transformer
  - safetensors
  - pytorch
frameworks:
  - pytorch
language:
  - en
downloads: 157
stars: 0
tags:
  - text-generation
  - transformer
  - mistral
  - fine-tuned
  - uncensored
  - nsfw
---

# mi7bUNC

> mi7bUNC - An open-source model by tomo2chin2 on ModelScope. Fine-tuned Mistral 7B (Uncensored)

tomo2chin2/mi7bUNC is a 7.2B-parameter machine learning model on ModelScope. licensed under apache-2.0.

- **Repository**: tomo2chin2/mi7bUNC
- **License**: apache-2.0
- **Parameters**: 7.2B
- **Tags**: text-generation, transformer, mistral, fine-tuned, uncensored, nsfw
- **Downloads**: 157
- **Stars**: 0
- **Last updated**: 2026-06-05

Source: https://www.modelscope.ai/models/tomo2chin2/mi7bUNC

---

# Fine-tuned Mistral 7B (Uncensored)

## Model Description

This model is a fine-tuned version of the **Mistral 7B**, a dense transformer model, trained on 40,000 datapoints of textual data from a variety of open-source sources. The base model, Mistral 7B, is known for its high efficiency in processing text and generating meaningful, coherent responses.

This fine-tuned version has been optimized for tasks involving natural language understanding, generation, and conversation-based interactions. Importantly, this model is **uncensored**, which means it does not filter or restrict content, allowing it to engage in more "spicy" or NSFW conversations.

## Fine-tuning Process

- **Data**: The model was fine-tuned using a dataset of 40,000 textual datapoints sourced from various open-source repositories.
- **Training Environment**: Fine-tuning was conducted on two NVIDIA A100 GPUs.
- **Training Time**: The training process took approximately 16 hours.
- **Optimizer**: The model was trained using AdamW optimizer with a learning rate of `5e-5`.

## Intended Use

This fine-tuned model is intended for the following tasks:
- Text generation
- Question answering
- Dialogue systems
- Content generation for AI-powered interactions, including NSFW or adult-oriented conversations.

### How to Use

You can easily load and use this model with the `transformers` library in Python:

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("your-organization/finetuned-mistral-7b")
model = AutoModelForCausalLM.from_pretrained("your-organization/finetuned-mistral-7b")

inputs = tokenizer("Input your text here.", return_tensors="pt")
outputs = model.generate(inputs["input_ids"], max_length=50, num_return_sequences=1)

print(tokenizer.decode(outputs[0], skip_special_tokens=True))