LLM Reference

WizardCoder Python 7B

About

The WizardCoder Python 7B model is an advanced large language model by WizardLM, featuring 7 billion parameters and leveraging a sophisticated transformer architecture. It excels in programming-related tasks such as code generation, translation, explanation, and automated debugging. Built on the Llama architecture, the model supports a sequence length of 4096 tokens and operates in the GGUF format, enhancing its adaptability to different input types. Trained on the Evol Instruct Code dataset, it is adept at handling a variety of coding scenarios. However, it may struggle with common sense reasoning and domain-specific knowledge, and its performance varies with the quantization method used. Overall, it is a valuable tool for developers, despite these limitations 1 4 7 3 2.

Capabilities

MultimodalFunction CallingTool UseJSON Mode

Specifications

Parameters7B
ArchitectureDecoder Only
Specializationgeneral