CodeBooga-34B-v0.1
| Property | Value |
|---|---|
| Parameter Count | 33.7B |
| Model Type | Text Generation, Code Generation |
| Architecture | LLaMA-based Transformer |
| License | LLaMA 2 |
| Format | FP16 |
What is CodeBooga-34B-v0.1?
CodeBooga-34B-v0.1 is an advanced code generation model created through a sophisticated merge of Phind-CodeLlama-34B-v2 and WizardCoder-Python-34B-V1.0. Using the BlockMerge Gradient script, this model combines the strengths of both parent models to deliver superior coding assistance capabilities.
Implementation Details
The model employs a carefully calibrated merging strategy using specific gradient values for different components: 0.75 for lm_head and embed_tokens, varying ratios for self-attention and MLP layers, and balanced 0.5/0.5 for layernorm components. It utilizes the Alpaca prompt format for consistent interaction.
- Sophisticated gradient-based model merging
- Optimized tensor operations across multiple model components
- FP16 precision for efficient computation
- Comprehensive GGUF quantization support
Core Capabilities
- Advanced Python code generation
- Multi-language programming support
- Strong performance in real-world coding scenarios
- Significantly outperforms parent models in comparative testing
Frequently Asked Questions
Q: What makes this model unique?
The model's unique strength lies in its carefully calibrated merge of two powerful code models, showing superior performance in comparative testing with a score of 22/24 in detailed evaluations against its parent models.
Q: What are the recommended use cases?
The model excels in Python programming tasks and general code generation, making it ideal for developers seeking assistance with complex coding challenges, code optimization, and technical problem-solving.
