Crap 33b Link Download Link Jun 2026

ollama pull deepseek-coder:33b

You will need at least 20GB - 24GB of VRAM (e.g., an RTX 3090 or 4090) to run this smoothly.

A 33B parameter model is a "mid-heavyweight." You cannot run this on a standard 8GB laptop without heavy quantization.

Navigating CRAP-33B: The Complete Guide to the Open-Source LLM and Finding Secure Download Links crap 33b download link

Another leading model in the 33B parameter class focused on complex instruction following for coding.

(Q4_K_M): sha256sum crap-33b-q4km.gguf → 3b5c8f9a1d6e4b2c7a0d8f3e6b9a2c4d5e6f7a8b9c0d1e2f3a4b5c6d7e8f9a0b1

If you're looking for , some known ones include: ollama pull deepseek-coder:33b You will need at least

The safest place to download open-source AI models is .

Here are legitimate, widely-used 33B models available today:

In different contexts, "crap" and "33b" have very specific meanings: (Q4_K_M): sha256sum crap-33b-q4km

For the latest information, troubleshooting, and community discussion:

In the world of open-source AI, "Crap" is usually a self-deprecating label used by developers who are merging models, testing experimental quantization techniques, or fine-tuning on obscure datasets. The "33b" signifies the parameter count—likely a derivative of the Llama 30B architecture (or a close variant), placing it in that sweet spot between the lighter 13B models and the heavy-duty 70B giants.