Arcee AI's Coder Large, released in May 2025, is designed to enhance code generation and refactoring tasks. With a robust 32,768 token context window, it facilitates complex multi-file operations and long diff reviews in one go. This text-to-text model, built with 32 billion parameters, understands over 30 programming languages, focusing on TypeScript, Go, and Terraform. It generates structured explanations alongside code, making it ideal for both educational and production environments. Supported parameters like frequency_penalty and temperature offer flexibility in output generation. Coder Large's training on diverse code datasets ensures competitive performance in bug fixing and human evaluation tasks.
Use Cases
Here are a few ways teams apply Arcee AI: Coder Large in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.
Enhance code refactoring processes
Improve multi-file code reviews
Facilitate educational coding tools
Support production copilot scenarios
Key Features
A quick look at the capabilities that make this model useful in real projects.
32 billion parameter model
32k context window for extensive reviews
Supports over 30 programming languages
Structured explanations with code output
Trained on diverse code datasets
Specs
Overview
Vendor
arcee-ai
Model ID
arcee-ai/coder-large
Release
2025-05-05
Modalities & context
Input
text
Output
text
Context
32,768 tokens
Parameters & defaults
Supported parameters: frequency_penalty, logit_bias, max_tokens, min_p, presence_penalty, repetition_penalty, stop, temperature, top_k, top_p
Defaults: temperature 0.2, top_p 0.95
Benchmark tests: Arcee AI: Coder Large
We ran this model against a few representative prompts to show its range. Review the outputs below and be the judge.
Text
Prompt:
Write 150 words on how AI might positively upend work, leisure and creativity
Artificial Intelligence (AI) is poised to revolutionize work, leisure, and creativity in profound ways. In the workplace, AI can enhance productivity by automating routine tasks, freeing up employees to focus on more strategic and creative endeavors. This shift allows for a more efficient allocation of human skills, leading to better decision-making and innovation. AI-driven analytics can provide valuable insights, enabling businesses to make data-informed decisions and stay competitive.
Leisure activities are also set to benefit from AI. Personalized recommendations from AI can enhance user experiences by suggesting content, activities, and products tailored to individual preferences. Virtual and augmented reality, powered by AI, can create immersive experiences, transforming how we entertain ourselves and interact with the world. AI can also facilitate social connections by matching people with like-minded individuals and facilitating communication across different languages and cultures.
In the realm of creativity, AI serves as a powerful tool for artists and creators. AI-generated art, music, and literature challenge traditional notions of creativity and open new avenues for expression. Collaborative platforms powered by AI can bring together diverse talents, fostering innovation and cross-pollination of ideas. Moreover, AI can assist in the creative process by providing suggestions, automating repetitive tasks, and even generating content, thereby augmenting human creativity rather than replacing it. Overall, AI has the potential to enrich our lives by making work more efficient, leisure more engaging, and creativity more accessible and diverse.
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