# Multilingual code generation

Blitzar-Coder-4B-F.1 is an efficient multilingual coding model fine-tuned based on Qwen3-4B, supporting more than 10 programming languages and having excellent code generation, debugging, and reasoning capabilities.

A large language model fine-tuned based on Google's Gemma-3 27B, specializing in chain-of-thought reasoning and code generation tasks, with optimized GPU memory and system memory management.

The first standalone model of the Fluently Language Model project, a 32.5B parameter causal language model supporting multiple languages and tasks.

Sky-T1-32B-Preview is a 32B-parameter large language model, quantized using llama.cpp's imatrix, suitable for text generation tasks.

Phi-3.5-mini is a lightweight, state-of-the-art open-source model built on the dataset used by Phi-3, supporting a 128K context length with a special focus on high-quality, reasoning-rich data.

Codestral-22B-v0.1 is a large language model that supports more than 80 programming languages, focusing on code generation and programming assistance tasks.

Codestral-22B-v0.1 is a large-scale code generation model developed by Mistral AI, supporting over 80 programming languages, suitable for code generation, explanation, and refactoring tasks.

A code generation and mathematical problem-solving model trained on Llama-3-8B, supporting multiple programming languages and detailed code explanations

StarCoder2-3B is a code generation model with 3 billion parameters. It is trained on data from 17 programming languages and can generate code snippets, but the results may not be completely accurate.

A code generation adapter fine-tuned on Mistral-7B, specializing in multilingual programming task solutions

Poro is a 34-billion-parameter multilingual large language model focused on Finnish, English, and code processing, open-sourced under Apache 2.0 license.

CodeFuse-13B is a 13-billion-parameter code generation model trained on the GPT-NeoX framework, supporting over 40 programming languages and capable of processing code sequences up to 4096 characters long.

Refact-1.6B is a large language model with 1.6B parameters focused on code generation, excelling in multiple programming languages.

StarCoderBase-7B is a code generation model with 7 billion parameters, supporting over 80 programming languages and focusing on code completion and generation tasks.

OctoCoder is a 15.5 billion parameter instruction-tuned model, fine-tuned from StarCoder on the CommitPackFT and OASST datasets, supporting 80+ programming languages.

StarCoder is a 15.5B-parameter code generation model trained on over 80 programming languages, supporting a context window of 8192 tokens

PolyCoder is a large language model with 400 million parameters, specifically designed for code generation and understanding tasks.