Wizardcoder 33B - Details

Wizardcoder 33B is a large language model developed by Wizardlm, an organization specializing in code generation. With 33b parameters, it is designed to deliver high accuracy in coding tasks. The model is released under the Microsoft Research License Terms (MSRLT), allowing for flexible use while adhering to specific licensing conditions. Its primary focus is on generating code efficiently and effectively.

WizardCoder is a series of code large language models trained with Evol-Instruct, achieving state-of-the-art performance on code benchmarks like HumanEval and MBPP. It includes versions such as WizardCoder-33B-V1.1, which outperforms models like ChatGPT 3.5 and Gemini Pro. The models are open-source and utilize Code-Aplaca data with rigorous data contamination checks to ensure quality and reliability.

WizardCoder 33B is a large language model with 33b parameters, placing it in the large model category that balances power for complex tasks with resource intensity. Its 2k token context length falls into the short context range, making it suitable for concise tasks but limiting its ability to handle extended texts. The parameter size enables advanced code generation capabilities, while the context length restricts its effectiveness for very long documents.

• Parameter Size: 33b
• Context Length: 2k

WizardCoder 33B is a large language model designed for code-related tasks, with possible applications in areas like code generation, code completion, and debugging assistance. Its high parameter count enables it to handle complex coding challenges, though possible uses in these domains require further validation to ensure effectiveness and alignment with specific needs. The model’s focus on code accuracy suggests it could support developers in creating or refining code, but possible implementations should be thoroughly tested before deployment. Possible scenarios might include automating repetitive coding tasks, suggesting improvements to existing code, or identifying errors in scripts, though these possible uses remain speculative without rigorous evaluation.

• code generation
• code completion
• debugging assistance

WizardCoder 33B is a large language model with possible applications in areas such as code generation, code completion, debugging assistance, and educational tool development. Its possible use in automating repetitive coding tasks or enhancing developer workflows could be explored, though possible implementations require careful validation. Possible scenarios might include supporting software development teams, creating interactive coding tutorials, or streamlining script creation, but these possible uses must be thoroughly evaluated before deployment. Possible integration into collaborative coding platforms or open-source projects could also be considered, though possible limitations in context handling or domain specificity need investigation.

• code generation
• code completion
• debugging assistance
• educational tool development

WizardCoder 33B in its medium q4 version requires a GPU with at least 24GB VRAM and a system with 32GB RAM for optimal performance, balancing precision and efficiency. This configuration ensures compatibility with mid-to-high-end GPUs while maintaining reasonable computational demands. Possible variations in hardware needs may arise based on workload and optimization, but this setup is generally suitable for most users.

• fp16, q2, q3, q4, q5, q6, q8

WizardCoder 33B is a large language model developed by Wizardlm with 33b parameters, designed for high-accuracy code generation and released under the Microsoft Research License Terms (MSRLT). It supports tasks like code completion and debugging, with open-source availability and a 2k token context length for efficient handling of coding workflows.

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