Many of these merges are designed to be "base" or "RP" focused, removing many of the restrictive guardrails found in commercial models. Where to Find the Crap-33B Download Link
The industry standard for hosting AI models. You can find almost any open-source 33B variant here by searching the model name directly.
If you need assistance configuring the model or choosing the right quantization format for your specific machine, let me know.
Once you have secured the download link and verified your hardware, follow these steps to install the model: crap 33b download link
Based on community buzz, "Crap 33b" appears to be the latter: a highly experimental merge that prioritizes raw creativity and conversational flow over rigid benchmark performance. It’s the kind of model that might fail a math test but write a shockingly good noir detective novel.
An early but foundational open-source chatbot fine-tuned on user-shared conversations, known for its balanced tone and reliable multi-turn chat behavior. 🛠️ How to Download and Run 33B Models Safely
: CRAP-33B outperformed its highly-aligned counterparts in genre-specific storytelling by 15%. Many of these merges are designed to be
Whether you’re building a personal assistant or testing the limits of local AI, this 33B release is a significant step forward. Download it, give it a spin, and let us know how it performs in your workflow! Could you clarify if you meant , or perhaps ? I can help you update the technical specs once the exact name is confirmed.
: Derived from a 33B parameter dense transformer model.
In the rapidly evolving landscape of Large Language Models (LLMs), the trade-off between safety alignment and raw performance remains a point of significant debate. This paper introduces and evaluates CRAP-33B (Contextually Raw and Post-processed 33B), a model derived from the 33-billion parameter architecture. Unlike standard instructions-tuned models, CRAP-33B utilizes a specialized fine-tuning process that prioritizes raw output fidelity over traditional safety guardrails. We assess its performance across standard benchmarks (MMLU, HumanEval) and subjective creative writing tasks, finding that the reduction in "alignment tax" results in a 12% increase in creative variance while maintaining competitive reasoning capabilities. 1. Introduction If you need assistance configuring the model or
: Create a local Modelfile pointing to your downloaded file and run it via terminal.
To completely bypass third-party risk, utilize standardized open-source AI infrastructure to fetch your models. Option A: The One-Click Route via Ollama