In this guide, we will walk you through the steps to access CodeGemma on Hugging Face, providing you with the necessary directives to ensure a smooth process. Let’s embark on this thrilling adventure into the world of AI and coding!

Step-by-Step Instructions to Access CodeGemma

Following these steps will allow you to access CodeGemma without any hassle:

1. Ensure that you have an account on Hugging Face. If you don’t, create one!
2. Log in to your Hugging Face account.
3. Before proceeding, kindly review and agree to Google’s usage license.
4. After you’ve acknowledged the license, you can proceed to use CodeGemma for your projects.
5. Click the button below to acknowledge the license:

Acknowledge license

Llamacpp Quantizations of CodeGemma-7B

When working with CodeGemma, understanding the different quantizations is crucial. So imagine baking a cake: each quantization is like a different type of cake recipe that yields varying levels of sweetness and texture, depending on the ingredients used. Here’s how they differ:

• Q8_0: The richest, most indulgent cake (extremely high quality).
• Q6_K: A near perfect cake that everyone loves (very high quality, recommended).
• Q5_K: A delectable cake that’s fitting for smaller gatherings (high quality).
• Q4_K: A good basic cake that is practical (good quality).
• IQ and K types: Different styles of cakes (I-quants are newer with better performance).

Download the Files

Below is a selection of the quantization files available for CodeGemma-7B:

Filename	Quant Type	File Size	Description
codegemma-7b-Q8_0.gguf	Q8_0	9.07GB	Extremely high quality, generally unneeded but max available quant.
codegemma-7b-Q6_K.gguf	Q6_K	7.01GB	Very high quality, near perfect, recommended.

Which File Should You Choose?

Determining which model to use depends on your system capabilities:

• If memory allows, choose a quant that is 1-2GB smaller than your GPU’s total VRAM for optimal speed.
• For maximum quality, combine your system RAM with your GPU’s VRAM for an effective quant size decision.
• If you prefer simplicity, select a K-quant model that fits your needs.
• For advanced users, consult the llama.cpp feature matrix for more tailored options.

Troubleshooting Tips

If you encounter issues accessing the files or using CodeGemma, here are a few tips:

• Ensure you are logged into your Hugging Face account.
• Confirm that you have acknowledged Google’s license agreement.
• If you face download issues, try refreshing the page or checking your internet connection.
• For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.