Crap 33b Download Portable Link

You can find various versions (Base, Instruct, and Quantized) on Hugging Face by searching for DeepSeek-Coder-33B.

| Model Name | Developer | Use Case | Format(s) | |------------|-----------|----------|-----------| | | DeepSeek | Code generation, debugging, completion | Base, GGUF | | TheBloke/WizardCoder-33B-V1.1-GPTQ | TheBloke | Code generation | GPTQ | | TheBloke/Chronoboros-33B-GPTQ | TheBloke | General purpose, roleplay | GPTQ | | TheBloke/WizardLM-33B-V1.0-Uncensored-GPTQ | TheBloke | Creative writing, uncensored | GPTQ | | TheBloke/CAMEL-33B-Combined-Data-GGUF | TheBloke | Chat, conversation | GGUF | | TheBloke/deepseek-coder-33B-instruct-GGUF | TheBloke | Code generation | GGUF | | TheBloke/WhiteRabbitNeo-33B-v1-GGUF | TheBloke | Cybersecurity, pentesting | GGUF | | TheBloke/Uncensored-Jordan-33B-GGUF | TheBloke | Uncensored general purpose | GGUF | | TheBloke/vicuna-33B-coder-GPTQ | TheBloke | Code generation | GPTQ | | TheBloke/samantha-33B-GPTQ | TheBloke | Empathetic conversation, roleplay | GPTQ | | TheBloke/chronos-33b-superhot-8k-GPTQ | TheBloke | Long-context tasks | GPTQ |

: 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 . crap 33b download link

Optimized for CPU+GPU inference using tools like llama.cpp or LM Studio. If you want to run this model on a single consumer GPU or an Apple Silicon Mac (M1/M2/M3 Pro or Max), download a GGUF format.

Navigating CRAP-33B: The Complete Guide to the Open-Source LLM and Finding Secure Download Links You can find various versions (Base, Instruct, and

Once you locate the repository URL on Hugging Face, you can use several methods to pull the files to your local machine. Method 1: Using Hugging Face CLI (Recommended)

| Model | Hugging Face Link | Best For | Size | |-------|-------------------|----------|------| | DeepSeek Coder 33B Instruct | deepseek-ai/deepseek-coder-33b-instruct | Coding | ~65GB (FP16) | | DeepSeek Coder 33B GGUF (TheBloke) | TheBloke/deepseek-coder-33B-instruct-GGUF | Local CPU/GPU | ~15-20GB | | Airoboros 33B | jondurbin/airoboros-33b-gpt4-1.4 | General chat | ~65GB | | Llama 1 33B | huggyllama/llama-33b | Base model | ~65GB | If you want to run this model on

Downloading models of this scale requires specific infrastructure, verified repositories, and the right ecosystem tools to run the software locally. Where to Safely Download Open-Source LLMs