Yi-Coder-9B-Chat-GGUF
| Property | Value |
|---|---|
| Parameter Count | 8.83B |
| Model Type | Text Generation / Code Generation |
| Author | MaziyarPanahi (Quantized) / 01-ai (Original) |
| Format | GGUF (Multiple Quantization Options) |
What is Yi-Coder-9B-Chat-GGUF?
Yi-Coder-9B-Chat-GGUF is a quantized version of the original Yi-Coder-9B-Chat model, specifically optimized for code generation and chat interactions. This model represents a significant advancement in making large language models more accessible for local deployment, offering various quantization levels from 2-bit to 8-bit precision to balance performance and resource requirements.
Implementation Details
This implementation utilizes the GGUF format, which is the successor to GGML, providing improved compatibility and performance for local deployment. The model is available in multiple quantization levels, allowing users to choose the optimal balance between model size and performance for their specific use case.
- Multiple quantization options (2-bit to 8-bit precision)
- GGUF format for optimal compatibility with modern AI frameworks
- Optimized for both code generation and conversational tasks
- Supports various client applications and libraries
Core Capabilities
- Code generation and completion
- Technical conversation and assistance
- Local deployment with minimal resource requirements
- Compatible with popular frameworks like llama.cpp
- Supports both CPU and GPU acceleration
Frequently Asked Questions
Q: What makes this model unique?
This model uniquely combines code generation capabilities with chat functionality in a highly optimized GGUF format, offering multiple quantization options for flexible deployment scenarios.
Q: What are the recommended use cases?
The model is ideal for code development assistance, technical documentation generation, and programming-related conversations. It can be deployed locally using various clients like LM Studio, text-generation-webui, or llama.cpp.
