| Property | Value |
|---|---|
| Model Size | 7B parameters |
| Base Model | CodeLlama-7b |
| License | LLaMA 2 |
| Language | English |
What is glaive-coder-7b?
Glaive-coder-7b is an advanced code generation model built on the CodeLlama-7b architecture. It has been specifically fine-tuned on approximately 140,000 programming-related problems and solutions, generated through Glaive's synthetic data generation platform. The model demonstrates impressive performance, achieving a 63.1% pass@1 rate on HumanEval and 45.2% on MBPP benchmarks.
Implementation Details
The model follows the CodeLlama-7b-Instruct prompt format and can be easily implemented using the Transformers library. It supports both single instruction following and multi-turn conversations, making it versatile for various coding assistance scenarios.
- Implemented using PyTorch and Transformers library
- Supports text-generation-inference
- Follows standard instruction format with system and user messages
- Compatible with CUDA for GPU acceleration
Core Capabilities
- Code generation and assistance
- Multi-turn programming conversations
- Problem-solving in various programming contexts
- High performance on standard code benchmarks
- Temperature and sampling parameter customization
Frequently Asked Questions
Q: What makes this model unique?
The model's uniqueness lies in its specialized training on a vast dataset of programming problems and its high performance on standard benchmarks. It's particularly notable for its balance between accessibility and capability, making it suitable for real-world coding applications.
Q: What are the recommended use cases?
The model is ideal for code assistance tasks, including code generation, debugging, and programming problem-solving. It can be used in both educational contexts and professional development environments, supporting both beginners and experienced developers.