Opencerebrum 1.0 7b SFT GGUF
OpenCerebrum-1.0-7b-SFT is a statically quantized model based on Locutusque/OpenCerebrum-1.0-7b-SFT, supporting multiple quantization versions, suitable for text generation and Q&A tasks in fields such as code generation, mathematics, chemistry, and biology.
Downloads 162
Release Time : 1/4/2025
Model Overview
This model is a supervised fine-tuned large language model that supports multiple quantization versions, suitable for text generation and Q&A tasks in code generation, mathematical problem-solving, chemistry, and biology.
Model Features
Multi-domain Support
The model performs excellently in multiple domains such as code generation, mathematics, chemistry, and biology.
Multiple Quantization Versions
Offers various quantization versions from Q2_K to f16 to meet different scenario requirements.
High-Quality Quantization
IQ quantization versions typically outperform non-IQ quantization versions of similar sizes, providing better performance and quality.
Model Capabilities
Text generation
Q&A
Code generation
Mathematical problem-solving
Chemistry problem-solving
Biology problem-solving
Use Cases
Education
Mathematical Problem-Solving
Solve complex mathematical problems, including algebra, geometry, etc.
Chemistry Problem-Solving
Answer chemistry-related questions, including chemical reactions, molecular structures, etc.
Programming
Code Generation
Generate Python code snippets based on descriptions.
Code Feedback
Provide feedback and improvement suggestions for code.
Featured Recommended AI Models
Š 2025AIbase