# Multilingual Programming

A next-generation language model based on the Qwen 2.5 14B architecture, specifically optimized for mathematical reasoning, programming, and general logical tasks.

Integrates the top 14B reasoning and code models from the open-source community, using SCE merging technology, with Qwen2.5-Coder-14B as the base model for fusion.

Raptor-X5-UIGEN is a large language model based on the Qwen 2.5 14B multimodal architecture, specializing in UI design, minimalist coding, and content-intensive development, with enhanced reasoning capabilities and structured response generation.

Yi-Coder is a series of open-source code language models that achieve state-of-the-art coding performance with fewer than 10 billion parameters.

The next-generation 72B-parameter large language model from Tongyi Qianwen, supporting 131K long text processing, with excellent performance in language understanding, text generation, programming, and mathematical reasoning

An orthogonalized version of Codestral-22B-v0.1, where the model's rejection capability has been removed through ablation techniques to better align with user requests.

Code Llama is a series of pretrained and fine-tuned generative text models developed by Meta, with parameter scales ranging from 7B to 34B, suitable for general code generation and understanding

Code Llama is a series of code generation and understanding models from Meta with parameter scales ranging from 7B to 34B. This version is the 7B base model.

CodeBooga-34B-v0.1 is a large-scale code generation model created by merging Phind-CodeLlama-34B-v2 and WizardCoder-Python-34B-V1.0 using the BlockMerge Gradient script, focusing on code generation tasks.

CodeLlama 34B Instruct is a large-scale code generation model developed by Meta based on the Llama 2 architecture, specifically optimized for programming tasks and supporting multiple programming languages.

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

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

CodeT5+ is an open-source family of large language models for code, employing an encoder-decoder architecture to support both code understanding and generation tasks.

CodeT5+ 16B is an open-source family of large language models for code, featuring an encoder-decoder architecture that supports multiple modes, suitable for a wide range of code understanding and generation tasks.

InstructCodeT5+ 16B is an open-source large language model for code, featuring an encoder-decoder architecture that supports multiple modes and is suitable for a wide range of code understanding and generation tasks.

CodeT5+ is an open-source family of large language models for code, featuring an encoder-decoder architecture that supports multiple modes, suitable for a wide range of code understanding and generation tasks.

StarCoderPlus is a powerful code generation model developed under the BigCode project, supporting multiple programming languages and natural language processing tasks.

A 2.7 billion parameter code generation model developed by Replit, supporting 20 programming languages

CodeGen2 is a series of autoregressive language models for program synthesis, featuring infill capability and supporting multiple programming languages.

SantaCoder is a 1.1 billion parameter code generation model trained on Python, Java, and JavaScript code, supporting fill-in-the-middle tasks.

CodeT5 is an identifier-aware unified pre-trained encoder-decoder model focused on code understanding and generation tasks.