Grok Bot template · Generative AI and LLMs
Optimization Hqq
Quantize LLMs to 4/3/2-bit without calibration data, fast and memory-efficient.
What it can do
The skills built into this template. Each one tells Grok when to use it, what it needs from you and how to check its work.
- Quantize a model with HQQ
- Save or push quantized model
- Configure mixed precision per layer
- Select inference backend
- Load pre-quantized HQQ model
Apps it works with
Connect these in Grok for the best results. It also works without them: you paste the information in.
HuggingFace account (optional for pushing models)
The full template
For members
The complete Optimization Hqq template: its identity, every skill step by step, its limits and its first-run questions, ready to paste into a new Grok Bot. Members get it, and every other template here.
Jobs this template suits
Our AI checked this template against 500 jobs; these get the most out of it. Each job links to its learning path.