初始化项目，由ModelHub XC社区提供模型

Model: Vlor999/mlx-UNfilteredAI-1B
Source: Original Platform

README.md

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+---
+license: mit
+language:
+- en
+tags:
+- UnfilteredAI
+- mlx
+library_name: mlx
+base_model: UnfilteredAI/UNfilteredAI-1B
+pipeline_tag: text-generation
+---
+# MLX UnfilteredAI-1B Model Card
+
+This is the MLX version of the UnfilteredAI-1B model, optimized for efficient inference on Apple Silicon devices using Apple's MLX framework.
+
+## Model Details
+
+### Model Description
+
+The MLX UnfilteredAI-1B is a converted version of the original UnfilteredAI-1B text generation model, adapted for Apple's MLX machine learning framework. This allows for fast and efficient text generation on macOS devices with M-series chips, leveraging the native capabilities of Apple Silicon.
+
+- **Developed by:** UnfilteredAI
+- **Model type:** Text generation language model
+- **Language(s) (NLP):** English (primary), supports other languages
+- **License:** MIT
+- **Base model:** UnfilteredAI/UNfilteredAI-1B
+
+### Model Sources
+
+- **Repository:** https://huggingface.co/UnfilteredAI/UNfilteredAI-1B
+- **MLX Conversion:** This repository
+
+## Uses
+
+### Direct Use
+
+This model can be used for text generation tasks such as:
+- Creative writing
+- Conversational AI
+- Educational and research applications
+- Content generation without traditional filters
+
+### Out-of-Scope Use
+
+The model is uncensored and may generate sensitive, controversial, or harmful content. It should not be used for:
+- Generating illegal or unethical content
+- Misinformation or propaganda
+- Any applications requiring content moderation
+
+## Bias, Risks, and Limitations
+
+As an uncensored model, it may exhibit biases present in the training data and generate inappropriate content. Users should be aware of potential risks including:
+- Generation of biased or offensive text
+- Potential for misuse in harmful applications
+- Inconsistencies in output quality
+
+### Recommendations
+
+Use responsibly and with caution. Implement appropriate safeguards if deploying in production environments.
+
+## How to Get Started with the Model
+
+To use this model, you'll need to install the MLX library and mlx-lm:
+
+
+```bash
+# uv version
+uv init .
+uv add mlx mlx-lm
+
+# pip version
+pip install mlx mlx-lm
+```
+
+Then, load and use the model:
+
+```python
+from mlx_lm import load, generate
+
+# Load the model from hugging-face
+model, tokenizer = load("Vlor999/mlx-UNfilteredAI-1B")
+
+# Generate text
+prompt = "Hello, how are you?"
+response = generate(model, tokenizer, prompt, max_tokens=100, verbose=True)
+print(response)
+```
+
+Then run the model:
+```bash
+uv run python filename.py
+# or by using the environment 
+source .venv/bin/activate
+python filename.py
+```
+
+Or directly using mlx-lm:
+```bash
+uv run mlx_lm.chat --model Vlor999/mlx-UNfilteredAI-1B
+# Example:
+uv run mlx_lm.chat --model Vlor999/mlx-UNfilteredAI-1B --max-tokens=4096
+
+# to have more informations about how to use mlx_lm you can run: 
+uv run mlx_lm.chat --help
+```