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Available now on ModelsLab · Language Model

Arcee AI: Virtuoso LargeReason Deep. Context Vast.

Arcee AI: Virtuoso Large

Deploy Virtuoso Power.

72B Parameters

Cross-Domain Reasoning

Handles complex reasoning, creative writing and enterprise QA with Qwen 2.5 base.

128k Context

Ingest Full Documents

Processes books, codebases or financial filings in single pass unlike peers.

Low Latency

Production Optimized

KV-cache optimizations deliver first-token latency in low seconds on H100 nodes.

Examples

See what Arcee AI: Virtuoso Large can create

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

Code Analysis

Analyze this 50k token Python codebase for security vulnerabilities, optimization opportunities and refactoring suggestions. Output structured report with code snippets.

Financial Summary

Summarize key risks, revenue trends and executive recommendations from this 100k token annual financial filing. Include quantitative metrics and comparisons.

Creative Story

Write a 2000-word sci-fi thriller set in 2147 where AI governs cities. Focus on moral dilemmas, vivid world-building and twist ending.

Math Proof

Prove Fermat's Last Theorem for n=3 using elementary methods. Provide step-by-step derivation with equations and verify with numerical examples.

For Developers

A few lines of code.
Virtuoso reasoning. 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: Virtuoso Large

Read the docs

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