TechxGenus/CodeGemma-7b
TechxGenus/CodeGemma-7b is an 8.5 billion parameter causal language model fine-tuned from Gemma-7b by TechxGenus. It specializes in code generation and understanding, having been trained on an additional 0.7 billion high-quality, code-related tokens. This model achieves a 67.7 pass@1 score on the HumanEval-Python benchmark, making it suitable for various coding tasks. It operates using the Alpaca instruction format and has a context length of 8192 tokens.
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TechxGenus/CodeGemma-7b Overview
TechxGenus/CodeGemma-7b is an 8.5 billion parameter language model developed by TechxGenus, specifically fine-tuned for code-related tasks. It is based on the Gemma-7b architecture and has undergone additional training on 0.7 billion high-quality code tokens over three epochs. The training process utilized DeepSpeed ZeRO 3 and Flash Attention 2 for efficiency.
Key Capabilities
- Code Generation: Excels at generating code, demonstrated by its 67.7 pass@1 score on the HumanEval-Python benchmark.
- Code Understanding: Optimized for tasks requiring comprehension of programming logic.
- Instruction Following: Operates effectively using the Alpaca instruction format, facilitating clear task execution.
Good For
- Software Development: Assisting developers with writing and completing code snippets.
- Automated Scripting: Generating scripts or functions based on natural language instructions.
- Educational Tools: Supporting learning environments for programming.
Limitations
It's important to note that the model may occasionally produce errors or misleading content, particularly for tasks unrelated to coding. It has undergone limited safety testing, and further evaluation is recommended before real-world deployment.