Wizardcoder 34B - Details

Wizardcoder 34B is a large language model developed by the organization Wizardlm, featuring 34 billion parameters and designed for high-accuracy code generation. It operates under the Microsoft Research License Terms (MSRLT).

Wizardcoder 34B is part of the Wizard series of open-source code large language models, including variants like WizardCoder-33B-V1.1 and WizardCoder-Python-34B-V1.0. These models are specifically trained for code generation and programming tasks, achieving state-of-the-art performance on benchmarks such as HumanEval and MBPP. They support multiple programming languages and leverage Evol-Instruct training to enhance their coding capabilities. The series is designed to excel in complex coding challenges while maintaining flexibility across diverse programming scenarios.

Wizardcoder 34B is a large language model with 34 billion parameters, placing it in the category of powerful models capable of handling complex coding tasks with high accuracy. Its context length of 100,000 tokens allows it to process and generate long-form code or extensive documentation efficiently, though this requires significant computational resources. The parameter size ensures robust performance on programming benchmarks, while the extended context length enhances its ability to manage intricate code structures and large datasets.

• Name: Wizardcoder 34B
• Parameter Size: 34b
• Context Length: 100k
• Implications: Balances advanced capabilities for complex coding tasks with high resource demands for both parameters and context length.

Wizardcoder 34B is a large language model designed for code generation and programming tasks, with potential applications in areas such as automating repetitive coding workflows, assisting with software development workflows, and generating code snippets for specific programming challenges. Possible uses could include streamlining development processes, supporting collaborative coding environments, or enabling rapid prototyping of software solutions. However, these potential applications require further exploration to ensure they align with specific needs and constraints. The model’s focus on programming tasks suggests it could be adapted for scenarios involving code optimization, debugging, or educational tools, though such uses would need careful validation.

• Name: Wizardcoder 34B
• Intended Uses: code generation, programming task automation, software development assistance
• Purpose: Designed for programming tasks with high accuracy and flexibility.

Wizardcoder 34B is a large language model with possible applications in areas such as code generation for specific programming tasks, automating repetitive coding workflows, assisting with software development processes, and generating code snippets for educational or prototyping purposes. These possible uses could support developers in streamlining tasks, enhancing productivity, or exploring new coding approaches, though they require thorough evaluation to ensure alignment with specific needs. The model’s focus on programming tasks suggests it might also be adapted for scenarios involving code optimization or collaborative development, but such possibilities need careful validation. Each application must be thoroughly evaluated and tested before deployment to ensure reliability and suitability.

• Name: Wizardcoder 34B
• Possible Applications: code generation, programming task automation, software development assistance, code snippet creation for educational purposes

Wizardcoder 34B’s medium q4 version is designed for a balance between precision and performance, requiring hardware capable of handling large-scale models while reducing resource demands. For this version, a GPU with at least 16GB VRAM is typically sufficient for smaller tasks, though more complex operations may need higher VRAM or multiple GPUs. The model’s quantized nature allows it to run on mid-range hardware, but specific requirements depend on the workload and implementation. Possible applications may vary, so users should assess their system’s capabilities before deployment.

• Name: Wizardcoder 34B
• Quantized Versions: fp16, q2, q3, q4, q5, q6, q8

Wizardcoder 34B is a large language model with 34 billion parameters and a 100,000-token context length, designed for high-accuracy code generation and programming tasks. It is open-source under the Microsoft Research License Terms and developed by the Wizardlm organization.

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