CodeLlama-70b-hf
| Property | Value |
|---|---|
| Parameter Count | 69B |
| License | Llama 2 |
| Research Paper | Link |
| Tensor Type | BF16 |
| Context Window | Up to 100k tokens |
What is CodeLlama-70b-hf?
CodeLlama-70b-hf is Meta's largest foundation model specifically designed for code generation and understanding. As part of the Code Llama family, this 70B parameter model represents the pinnacle of their code-focused language models, trained between January 2023 and January 2024. It's built on an optimized transformer architecture and supports an impressive context window of up to 100k tokens.
Implementation Details
The model utilizes BF16 tensor types and requires the transformers and accelerate libraries for implementation. It was trained on Meta's Research Super Cluster, with significant attention to environmental impact - the training process was carbon-offset through Meta's sustainability program.
- Optimized transformer architecture with 69B parameters
- Supports inference with up to 100k tokens
- Fine-tuned with 16k token context window
- Implements state-of-the-art code generation capabilities
Core Capabilities
- Advanced code completion functionality
- General code synthesis and understanding
- Multi-language support with focus on English programming languages
- Production-ready for commercial and research applications
Frequently Asked Questions
Q: What makes this model unique?
CodeLlama-70b-hf stands out due to its massive scale (69B parameters), specialized training for code understanding, and extensive context window support of up to 100k tokens. It's part of a carefully crafted family of models that includes Python-specific and instruction-tuned variants.
Q: What are the recommended use cases?
The model is specifically designed for commercial and research applications in code synthesis and understanding. It excels at code completion tasks and can be adapted for various programming-related applications, though it's recommended to perform safety testing before deployment in production environments.
