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Arcee AI Coder-LargeCode Compiles First Time

Generate Debug Refactor Scale

32K Context

Multi-File Refactoring

Process long diffs or multiple files in one call with 32k context window.

30+ Languages

TypeScript Go Terraform

Supports 30+ languages, optimized for TypeScript, Go, and Terraform.

Structured Output

Explanations With Code

Emits code blocks with structured explanations by default.

Examples

See what Arcee AI Coder-Large can create

Copy any prompt below and try it yourself in the playground.

API Endpoint

Write a TypeScript Express.js API endpoint that fetches user data from a PostgreSQL database, includes error handling, input validation with Zod, and returns JSON responses. Add comments explaining each section.

Bug Fix

Debug this Go function with a nil pointer dereference: func ProcessUsers(users []*User) { for _, u := range users { fmt.Println(u.Name) } }. Provide fixed code and explain the issue.

Terraform Module

Generate a Terraform module for AWS VPC with public and private subnets, NAT gateway, and security groups. Include variables, outputs, and best practices.

Python Script

Create a Python script using FastAPI to handle file uploads, process CSV data with Pandas, and store results in SQLite. Include unit tests.

For Developers

A few lines of code.
Code gen. One call.

ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.

  • Serverless: scales to zero, scales to millions
  • Pay per token, no minimums
  • Python and JavaScript SDKs, plus REST API
import requests
response = requests.post(
"https://modelslab.com/api/v7/llm/chat/completions",
json={
"key": "YOUR_API_KEY",
"prompt": "",
"model_id": ""
}
)
print(response.json())

FAQ

Common questions about Arcee AI Coder-Large

Read the docs

32B model based on Qwen2.5-Instruct, fine-tuned on GitHub, CodeSearchNet, and bug-fix data for code generation and debugging. Supports 32k context. Understands 30+ languages.

Ideal for code generation, debugging, multi-file refactoring, and diff reviews. Emits structured explanations with code. Suited for copilot and educational tools.

Shows 5-8 point gains over CodeLlama-34B-Python on HumanEval. Competitive BugFix scores via reinforcement for compilable output.

32,768 tokens. Enables handling large codebases or long conversations in single calls.

Accessible through providers like Together AI and OpenRouter. Use OpenAI-compatible endpoints for integration.

Consider other Qwen-based coders or CodeLlama variants. Arcee AI Coder-Large excels in cost-efficiency and structured outputs for production.

Ready to create?

Start generating with Arcee AI Coder-Large on ModelsLab.