What are some abliterated models to run in Ollama on a an Intel Core i7-6700 CPU @ 3.40GHz with 16G of RAM and a GeForce GTX 745?

It's fantastic you're exploring Llama models! Let's talk about which ones would be realistic to run on your setup:

Understanding the Constraints

• CPU: Your i7-6700 is capable, but it's an older generation. While it handles basic tasks well, it won't excel at large language model inference or complex calculations required for fine-tuned LLMs.
• RAM: 16GB RAM is decent. You'll likely need to work with smaller Llama models due to memory limitations.
• GPU: The GTX 745 has some processing power, but it isn't meant for high-performance AI tasks like running large language models on Ollama. You might find performance improvements, but expect limitations.

Ollama Model Considerations

• Model Size: Smaller Llama models (e.g., 7B parameters) are best suited to your hardware. They will be more manageable and run faster.
• Quantization: This is crucial for reducing memory requirements! Explore techniques like transformers library's quantization options (check the Ollama documentation on how to do this).

Recommended Models (Based on Size)

Here are a few model sizes commonly considered suitable for your setup:

1. 7B Parameter Model (Smaller):
2. Potential Challenges: May experience limitations in accuracy and context handling.
3. Suitable for: Experimentation, basic text generation, Q&A.
4. 65B Parameter Model (Larger):
5. Challenges: Requires significant GPU memory and might be too large for your machine.
6. Best for: Research, advanced language tasks that demand more computational power but are very computationally demanding.

Tips for Success with Ollama

1. Experimentation: Start small! Test different model sizes to see how they perform on your hardware.
2. Quantization is Key: Use tools like transformers' quantization techniques for memory efficiency.
3. Resource Monitoring: Pay attention to CPU and GPU usage while running Ollama. You may need to adjust parameters if needed.

Important Notes:

• Ollama Documentation: Visit the official Ollama website for detailed instructions, examples, and best practices.
• Model Availability: The specific models available in Ollama will likely need to be downloaded from sources like Hugging Face as it's a community-driven project.

Let me know if you have other questions or want help setting up the necessary tools!