DeepSeek Coder 33B Instruct GGUF
Property | Value |
---|---|
Parameter Count | 33.3B |
License | DeepSeek License |
Training Data | 2T tokens (87% code, 13% natural language) |
Context Length | 16K tokens |
Quantization Options | 2-bit to 8-bit GGUF |
What is deepseek-coder-33B-instruct-GGUF?
DeepSeek Coder 33B Instruct GGUF is a powerful large language model specifically designed for software development and coding tasks. This GGUF version, quantized by TheBloke, offers various compression options from 2-bit to 8-bit, making it accessible for different hardware configurations while maintaining high performance.
Implementation Details
The model is built on a massive training foundation of 2 trillion tokens, with a unique composition of 87% code and 13% natural language content in both English and Chinese. It employs a 16K token context window and includes special training for project-level code completion and infilling tasks.
- Multiple quantization options ranging from 14GB to 35GB file sizes
- Optimized for both CPU and GPU inference
- Supports popular frameworks like llama.cpp, text-generation-webui, and others
- Includes fill-in-the-blank capabilities for code completion
Core Capabilities
- Advanced code completion and generation
- Project-level understanding and context awareness
- Multi-language programming support
- State-of-the-art performance on coding benchmarks
- Efficient memory usage through various quantization options
Frequently Asked Questions
Q: What makes this model unique?
Its massive scale (33B parameters), specialized training on code, and extensive quantization options make it one of the most versatile and powerful open-source coding models available.
Q: What are the recommended use cases?
The model excels at code completion, debugging, code explanation, and general programming assistance across multiple programming languages. It's particularly useful for project-level development tasks due to its 16K context window.