# Python code generation

OpenCodeReasoning-Nemotron-14B is a large language model based on Qwen2.5-14B-Instruct with post-training, specifically optimized for code generation and reasoning, supporting a 32K token context length.

OpenCodeReasoning-Nemotron-32B is a code generation reasoning model based on Qwen2.5-32B-Instruct, supporting 32K tokens context length, suitable for both commercial and non-commercial use.

PyCodeT5 is a specialized variant of the CodeT5 model, fine-tuned specifically for generating and understanding Python functions, capable of converting natural language descriptions into functional Python code.

A Python code generation model fine-tuned based on unsloth/Phi-3-mini-4k-instruct-bnb-4bit, trained using Unsloth and TRL libraries with 2x speed improvement

Code Llama is a series of pre-trained and fine-tuned generative text models released by Meta with parameter scales ranging from 7 billion to 34 billion. This model is the 13-billion-parameter Python specialized version

CodeLlama 70B Python is a large language model focused on the Python programming language, based on the Llama 2 architecture, optimized for code generation and completion tasks.

This model was trained on 4 out of 58 Python files from the bigcode/starcoderdata dataset, primarily for code-related tasks.

A Python-specific code generation model developed based on TinyMistral-248M-v2-Instruct, supporting instruction-formatted Python code generation

This is the quantized GGUF model file of rahuldshetty/tinyllama-python, fine-tuned based on unsloth/tinyllama-bnb-4bit, specializing in Python code generation tasks.

Phi-1 is a 1.3 billion parameter Transformer model specifically designed for basic Python programming, achieving over 50% accuracy on the HumanEval benchmark

This is a 4-bit GPTQ quantized version of the Llama 2 7B model, specifically fine-tuned for Python code generation tasks

A code generation model fine-tuned on the Evol-Instruct-Python-1k dataset using QLoRA (4-bit precision) based on the CodeLlama-7b-hf model

CodeLlama 7B Python is a large language model with 7B parameters developed by Meta, focusing on Python code generation. It provides a quantized version in the GGUF format.

Code Llama is a 34-billion-parameter Python-specific code generation model developed by Meta, optimized based on the Llama 2 architecture, focusing on Python code synthesis and understanding

CodeT5+ is an open-source family of large language models for code, featuring an encoder-decoder architecture that supports various code understanding and generation tasks. This model is the 220M parameter version, specifically optimized for Python code generation.

CodeT5+ is an open-source family of large language models for code, featuring an encoder-decoder architecture that supports a wide range of code understanding and generation tasks. This model has been additionally fine-tuned for Python code.

This is a Python code generation model with 164 million parameters, based on the StarCoder architecture, specifically optimized for Python code generation tasks.

A Python code generation model fine-tuned based on Salesforce/codet5-small, specializing in custom function generation tasks

A Python code generation model fine-tuned based on Salesforce/codegen-350M-mono, focusing on custom function generation

CodeT5 is a large-scale encoder-decoder model pre-trained with NTP objectives for Python language, focusing on code understanding and generation tasks

CodeGen-Mono 16B is an autoregressive language model for program synthesis, specializing in generating executable code from English prompts.

CodeGen is a series of autoregressive language models for program synthesis. CodeGen-Mono 6B is a 6B-parameter model further pre-trained on Python programming language datasets.

GPT-2 large model fine-tuned based on bert-base-uncased, specializing in Python code-related issues

A programming task-solving model fine-tuned on the APPS dataset based on GPT-Neo-125M

CodeParrot is a Python code generation model based on the GPT-2 architecture (1.5 billion parameters), focusing on automatic Python code generation.

GPT-J 6B fine-tuned model for Python code generation, specialized in Python programming assistance

GPyT is a GPT2 model trained from scratch on 80GB of pure Python code, focusing on Python code generation tasks.

Python code generation model trained on Jupyter notebooks, capable of synthesizing code based on natural language intent within code context