# Python Optimization

OpenCodeReasoning-Nemotron-32B is a large language model based on Qwen2.5-32B-Instruct, specifically trained for code generation and reasoning capabilities, supporting a 32K token context length, and freely available for commercial/non-commercial use.

A code generation model fine-tuned based on distilgpt2, suitable for code-related tasks

Code Llama is a series of code generation and understanding models released by Meta, ranging from 7 billion to 34 billion parameters. This version is the 34 billion parameter base model.

Code Llama is a series of code generation and comprehension models released by Meta, including pre-trained and fine-tuned versions with parameters ranging from 7B to 34B. This model is the 7B-parameter instruction fine-tuned version, specifically optimized for code assistant scenarios.

WizardCoder is a large language model for code enhanced by the Evol-Instruct method, specializing in code generation tasks.

WizardCoder-Python-34B-V1.0 is a large language model for code enhanced by the Evol-Instruct method, specializing in Python code generation tasks.

CodeLlama-13b-Instruct is a 13-billion-parameter instruction-tuned code generation model released by Meta, specifically designed for safe instruction following and code assistant applications

CodeLlama-7b-Instruct is an instruction-following version optimized from a 7-billion-parameter code generation model, specifically designed for secure deployment and code assistant applications

Code Llama is a 7B-parameter code generation model developed by Meta, supporting general code synthesis and comprehension