Search the Hugging Face model hub for users like mradermacher or LoneStriker , who frequently provide quantizations for these niche merges. huggingface.co/models?search=crap-33b 2. Choosing the Right Format
In the rapidly evolving world of open-source AI, model merges have become a primary way for developers to squeeze more performance out of existing architectures. The model represents one such effort, typically built upon the Llama-2 or Llama-3 30B+ parameter backbone. What is Crap-33B? crap 33b download link
You will need at least 20GB - 24GB of VRAM (e.g., an RTX 3090 or 4090) to run this smoothly. Search the Hugging Face model hub for users
A 33B parameter model is a "mid-heavyweight." You cannot run this on a standard 8GB laptop without heavy quantization. crap 33b download link