Happy Horse 1.0 is now on ModelsLab

Try Now
Skip to main content
Available now on ModelsLab · Language Model

Arcee AI: Virtuoso LargeReason Deep. Context Vast.

Try Arcee AI: Virtuoso LargeAPI Documentation
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
API Documentation 
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

Arcee AI: Virtuoso Large is a 72B parameter general-purpose LLM based on Qwen 2.5. It excels in cross-domain reasoning, creative writing and enterprise QA. Training includes DeepSeek R1 distillation and DPO/RLHF alignment.

Arcee AI: Virtuoso Large supports 128k or 131,072 tokens. This enables processing entire codebases, books or financial documents. It outperforms most 70B peers in long-context tasks.

Arcee AI: Virtuoso Large API powers production pipelines as fallback brain in Conductor systems. Enterprises route low-confidence SLM queries here. KV optimizations ensure low latency.

Arcee AI: Virtuoso Large scores high on BIG-Bench-Hard, GSM-8K math and Needle-In-Haystack tests. It demonstrates bold, confident problem-solving. Performance rivals top 72B models.

Arcee AI: Virtuoso Large retains full 128k context from Qwen unlike compressed peers. Multi-epoch fine-tuning broadens domain coverage. Enterprises favor it for scalable, cost-efficient high-volume tasks.

Use the LLM endpoint on ModelsLab for Arcee AI: Virtuoso Large API. Supports input/output token billing. Integrates with routing systems like Arcee Conductor for optimal model selection.

Ready to create?

Start generating with Arcee AI: Virtuoso Large on ModelsLab.

Try Arcee AI: Virtuoso LargeAPI Documentation