Wizardcoder 13B
Wizardcoder 13B is a large language model developed by the organization Wizardlm with 13 billion parameters. It is designed to generate code with high accuracy and is released under the Microsoft Research License Terms (MSRLT). The model emphasizes coding tasks, making it a specialized tool for developers and researchers seeking efficient code generation capabilities.
Description of Wizardcoder 13B
WizardCoder is a series of code-focused large language models developed by the WizardLM team, including versions like WizardCoder-33B-V1.1, which is trained from DeepSeek-Coder-33B-base. The series achieves state-of-the-art performance on code benchmarks such as HumanEval, HumanEval-Plus, MBPP, and MBPP-Plus, outperforming models like ChatGPT 3.5, Gemini Pro, and DeepSeek-Coder-33B-instruct. It includes multiple parameter sizes, such as 33B, 15B, 7B, and others, with specialized versions optimized for Python and general code tasks.
Parameters & Context Length of Wizardcoder 13B
Wizardcoder 13B is a mid-scale model with 13b parameters, offering balanced performance for moderate complexity tasks, while its 4k context length is suited for short tasks but limited for long texts. The 13b parameter size enables efficient handling of coding challenges without excessive resource demands, making it ideal for developers seeking a reliable yet accessible tool. The 4k context length ensures effective processing of concise code snippets or queries but may struggle with extended documents.
- Parameter Size: 13b (mid-scale models: balanced performance for moderate complexity)
- Context Length: 4k (short contexts: suitable for short tasks, limited in long texts)
Possible Intended Uses of Wizardcoder 13B
Wizardcoder 13B is a large language model designed for code-related tasks, with possible applications including code generation, debugging code, and software development. These possible uses could involve assisting developers in writing or refining code, identifying errors in existing programs, or supporting collaborative software projects. However, the possible effectiveness of these applications may vary depending on specific scenarios, and further investigation is necessary to confirm their viability. The model’s possible utility in these areas remains theoretical and requires thorough testing before practical implementation.
- code generation
- debugging code
- software development
Possible Applications of Wizardcoder 13B
Wizardcoder 13B is a large language model with possible applications in areas such as code generation, debugging code, and software development. These possible uses could involve assisting developers in creating or refining code, identifying errors in existing programs, or supporting collaborative software projects. However, the possible effectiveness of these applications may vary depending on specific scenarios, and further investigation is necessary to confirm their viability. The possible utility in these areas remains theoretical and requires thorough testing before practical implementation. Each application must be thoroughly evaluated and tested before use.
- code generation
- debugging code
- software development
Quantized Versions & Hardware Requirements of Wizardcoder 13B
Wizardcoder 13B in its medium q4 version requires a GPU with at least 20GB VRAM (e.g., RTX 3090) and a system with 32GB RAM for optimal performance. This configuration ensures efficient execution while balancing precision and speed. Additional considerations include adequate cooling and a power supply capable of supporting the GPU.
fp16, q2, q3, q4, q5, q6, q8
Conclusion
Wizardcoder 13B is a code-focused large language model with 13 billion parameters and a 4k context length, developed by Wizardlm to excel in programming tasks. It emphasizes accuracy in code generation and debugging, making it a versatile tool for software development scenarios.
