Large weight files ( .bin , .safetensors ) can occasionally execute untrusted code if packaged incorrectly.
Run the following command to download and immediately launch a 33B model securely: ollama run deepseek-coder:33b Use code with caution. Option B: The Web UI Route (GGUF / GPTQ)
What's your ideal mid-weight model size (20B to 33B), and why?
Want me to adjust the tone — more serious, more humorous, or turn it into a fake release announcement?
Crap-33B is a testament to the "wild west" of the open-source AI community—where strangely named models often outperform their corporate counterparts in creativity and personality. Always ensure you are downloading from trusted contributors on Hugging Face to keep your system secure.
: The foundational model released by Meta. While superseded by Llama 2 and 3, it remains a popular base for research.
quant_config = BitsAndBytesConfig( load_in_4bit=True, bnb_4bit_compute_dtype=torch.float16 )
Tell you to run this model effectively.
: For pre-quantized versions built for consumer hardware, search for repositories curated by "TheBloke" on Hugging Face, such as the WizardLM-33B-V1.0-Uncensored-GGUF Repository or the Code-33B-GGUF Hub .
Use the following command to download a specific 33B model (e.g., DeepSeek) directly to your local folder:
No model officially named "Crap 33B" exists. If you encountered this term in a forum post or chat, the user was likely either:
If you want the easiest path to get the model up and running locally, follow these steps using or Ollama : Method A: Using LM Studio (Graphical Interface) Download and install LM Studio for Windows, Mac, or Linux.
Read the technical breakdown and benchmark data on the official DeepSeek Coder GitHub page Check out community discussions on the LocalLLaMA subreddit
Crap 33b Download Link [patched] Info
Large weight files ( .bin , .safetensors ) can occasionally execute untrusted code if packaged incorrectly.
Run the following command to download and immediately launch a 33B model securely: ollama run deepseek-coder:33b Use code with caution. Option B: The Web UI Route (GGUF / GPTQ)
What's your ideal mid-weight model size (20B to 33B), and why?
Want me to adjust the tone — more serious, more humorous, or turn it into a fake release announcement? crap 33b download link
Crap-33B is a testament to the "wild west" of the open-source AI community—where strangely named models often outperform their corporate counterparts in creativity and personality. Always ensure you are downloading from trusted contributors on Hugging Face to keep your system secure.
: The foundational model released by Meta. While superseded by Llama 2 and 3, it remains a popular base for research.
quant_config = BitsAndBytesConfig( load_in_4bit=True, bnb_4bit_compute_dtype=torch.float16 ) Large weight files (
Tell you to run this model effectively.
: For pre-quantized versions built for consumer hardware, search for repositories curated by "TheBloke" on Hugging Face, such as the WizardLM-33B-V1.0-Uncensored-GGUF Repository or the Code-33B-GGUF Hub .
Use the following command to download a specific 33B model (e.g., DeepSeek) directly to your local folder: Want me to adjust the tone — more
No model officially named "Crap 33B" exists. If you encountered this term in a forum post or chat, the user was likely either:
If you want the easiest path to get the model up and running locally, follow these steps using or Ollama : Method A: Using LM Studio (Graphical Interface) Download and install LM Studio for Windows, Mac, or Linux.
Read the technical breakdown and benchmark data on the official DeepSeek Coder GitHub page Check out community discussions on the LocalLLaMA subreddit