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Deploy Magistral 24B

Text & Chat

Catalogue notes · not a new performance benchmark

Magistral is a 24B parameter model specialized in legal and financial analysis. It provides transparent reasoning chains suited for compliance review, contract analysis, and regulatory research.

Review a Magistral 24B setup

Specifications

ModelGPUVRAMConfigured estimateAction
Magistral 24B
24B (Reasoning)
RTX A600048 GBReview current priceDeploy

These configured estimates include the service fee and configured disk. Review the current quote before starting. Capacity, startup and output quality are not verified by this table.

Requirements

ModelPilot assigns a 48GB cloud GPU to this deployment. Actual local VRAM requirements vary with model variant, precision, quantization, resolution, and workflow settings.

On ModelPilot, deploy on a dedicated cloud GPU (up to 80GB VRAM) with a current quote and spending controls shown before you start.

Includes OpenWebUI chat interface and OpenAI-compatible API endpoint.

Use Cases

  • ✓Legal document analysis
  • ✓Financial report review
  • ✓Compliance and regulatory research
  • ✓Contract summarization

Related Models

Frequently Asked Questions

How much GPU memory is allocated for Magistral 24B?

The listed ModelPilot deployment uses a 48GB cloud GPU. Local memory needs can vary with precision, quantization, and workflow settings.

How much does it cost to run Magistral 24B?

Pricing varies by hardware and storage. Review the current quote and spending controls before starting.

How long does Magistral 24B take to deploy?

Startup depends on capacity, image and model downloads, and runtime readiness. The deployment page reports progress; a catalogue entry does not guarantee a startup time.

Can I run Magistral 24B on my local GPU?

It depends on the selected variant, precision, quantization, and workflow settings. Compare the variants below with your available VRAM; the table shows ModelPilot's cloud GPU allocation, not a universal local minimum.

Ready to deploy Magistral 24B?

Pick a configuration, review its dependencies, licence, current quote and spending controls, then choose whether to start.