code_bagel_llama-3-8b-v1.1
| Property | Value |
|---|---|
| Base Model | mattshumer/Llama-3-8B-16K |
| License | Apache-2.0 |
| Developer | jlancaster36 |
| Model Link | Hugging Face |
What is code_bagel_llama-3-8b-v1.1?
code_bagel_llama-3-8b-v1.1 is a specialized variant of the LLaMA architecture, fine-tuned specifically for code-related tasks. This model leverages the foundation of the mattshumer/Llama-3-8B-16K model while implementing optimization techniques for enhanced performance and efficiency.
Implementation Details
The model was developed using two key optimization frameworks: Unsloth and Hugging Face's TRL (Transformer Reinforcement Learning) library. This combination enabled a 2x faster training process compared to conventional approaches, while maintaining model quality and performance.
- Utilizes Unsloth optimization for accelerated training
- Implements TRL library for enhanced fine-tuning capabilities
- Built on the 8B parameter LLaMA architecture
- Supports context length inherited from 16K base model
Core Capabilities
- Code generation and completion
- Programming language understanding
- Optimized inference performance
- Extended context handling (16K tokens)
Frequently Asked Questions
Q: What makes this model unique?
The model's distinctive feature is its optimized training process, achieving 2x faster training through the combination of Unsloth and TRL libraries, while maintaining the robust capabilities of the LLaMA architecture.
Q: What are the recommended use cases?
This model is particularly well-suited for code-related tasks, including code generation, completion, and analysis. It's optimized for developers and applications requiring efficient code understanding and generation capabilities.
