ollama - 💡(How to fix) Fix Intel Arc 770: Q4_K_M and other quantization formats produce gibberish or hang [1 participants]

Fix Plan

To address the quantization-specific issue with Q4_K_M formats on Intel Arc 770 with Vulkan GPU acceleration, we will:

• Update Ollama to the latest version to ensure any known fixes are applied.
• Modify the Vulkan configuration to optimize for the Intel Arc 770.
• Implement a fallback to CPU for Q4_K_M quantizations if the issue persists.

Code Changes

Example code to implement a fallback to CPU for specific quantizations:

import ollama

def process_model(model, quantization):
    if quantization == "Q4_K_M":
        # Fallback to CPU for Q4_K_M quantizations
        ollama.set_device("CPU")
    else:
        ollama.set_device("GPU")

    # Process the model
    output = ollama.process(model)
    return output

Configuration Changes

1. Update ollama.cfg to include the following settings:

[device]
fallback_cpu = True

1. Ensure the Vulkan instance version is up-to-date.

Verification

1. Test the models with Q4_K_M quantizations to verify they no longer produce gibberish or hang.
2. Verify that models with Q4_0 and Q8_0 quantizations still work correctly.
3. Monitor system logs for any errors or warnings related to Vulkan or Ollama.

Extra Tips

• Regularly update Ollama and Vulkan to ensure you have the latest fixes and optimizations.
• Consider reporting the issue to the Ollama and Vulkan communities to help improve support for Intel Arc 770.