Reubencf/llama3.1-8b-instruct-all-64r
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Reuben fernandes PRO
Reubencf
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AI & ML interests
LLM
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# 🚀 Run Qwen3-TTS on Colab GPU or Locally
Run **Qwen3-TTS (Text-to-Speech & Voice Cloning)** with minimal effort. This setup is based on the official HF Space.
### 🔗 Links
* **Official Space:** https://huggingface.co/spaces/Qwen/Qwen3-TTS
* **GitHub Repo:** https://github.com/seyf1elislam/qwen-tts-webui-notebook
* **Colab:** https://github.com/seyf1elislam/qwen-tts-webui-notebook/blob/main/Qwen_TTS_(TTS_%26_Voice_Cloning)_Colab.ipynb
---
### 📓 Method 1: Google Colab (Fastest)
1. Open the https://github.com/seyf1elislam/qwen-tts-webui-notebook/blob/main/Qwen_TTS_(TTS_%26_Voice_Cloning)_Colab.ipynb.
2. Add your HF_TOKEN to Google Colab Secrets
3. Ensure you are on a **T4 GPU** runtime.
4. Run all cells. Use the `gradio.live` link to open the UI.
---
### 💻 Method 2: Local Installation
Requires an GPU. Uses `uv` for faster setup.
```bash
# 1. Install uv & Clone
pip install uv
git clone https://huggingface.co/spaces/Qwen/Qwen3-TTS && cd Qwen3-TTS
# 2. Setup Environment
uv venv
uv pip install -r requirements.txt
# 3. Auth & Run
uvx hf auth login
python app.py
# UI available at: http://localhost:7860/
```
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Introducing OpenMALx
https://huggingface.co/openmalx
Repository for Infosec and Machine Learning Resources
OpenMALx is an organization focused on the development of datasets and models for security analysis. The project objective is to provide structured data for training and evaluating large language models in a security context.
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Technical Focus
**Dataset Formatting:** Processing raw security tool logs into instruction/response pairs for model training.
**Local Execution:** Optimizing models for local hardware to ensure data remains on-premises.
**Response Logic:** Developing structured formats for explaining security vulnerabilities and remediation steps.
Active Projects
**infosec-tool-output:** A dataset mapping static and dynamic analysis tool outputs to technical summaries.
https://huggingface.co/datasets/openmalx/infosec-tool-output
**open-malsec:** A collection of text-based security threats, including phishing and social engineering samples, for classification tasks.
https://huggingface.co/datasets/openmalx/open-malsec
Organizations
