Sold by: Salient Engineering
Deployed on AWS
Free Trial
A self-hosted, production-ready LFM2.5 24B A2B model, with 2.45 billion active parameters, deployed into your AWS environment with a single click. Because everything runs entirely within your private cloud, your data stays secure, isolated, and fully under your control. Best of all, unlimited tokens.
Overview
This is a self-hosted deployment of the LFM2.5 24B A2B large language model. It runs as a single GPU-powered EC2 instance allowing you to keep your data private and leverage unlimited tokens. Access to the model is via HTTPS, ensuring data is encrypted in-transit at all times. Once the instance is powered on, the server requires 10 minutes to load the LLM before it is ready to serve requests. Highlights of the LFM2.5 model include:
-
24.0 billion total parameters with 2.45 billion active per token. Mixture-of-experts with 64 experts and top-4 routing, across 40 layers (30 double-gated short convolution blocks and 10 grouped-query attention layers).
-
Context length of 131,072 tokens. The model always thinks before it answers.
-
Built for agents that reason and call tools. Post-trained with reinforcement learning inside OpenClaw, Hermes Agent, Pi, and OpenCode.
-
Published scores include 48.09 on LiveClaw, 65.01 on BFCLv4, 80.71 on ToolSandbox, 96.75 on IFEval, 96.04 on MATH-500, and 51.00 on SWE-Bench Verified (OpenCode).
-
Multilingual across English, Arabic, Chinese, French, German, Italian, Japanese, Korean, Portuguese, Spanish, Vietnamese, Thai, Indonesian, Hindi, Russian, and Polish.
Highlights
- Data security, privacy, and confidentiality
- Predictable cost
- Unlimited usage of a dedicated model
Details
Sold by
Categories
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 26.04
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Free trial
Try this product free for 5 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
g6e.xlarge Recommended | $0.09 |
Dimensions summary
This listing uses a single usage-based pricing dimension. You pay by the hour for running the software on a g6e.xlarge GPU instance. There are no tiers or plans to choose between. Your cost scales directly with how many hours you run the instance. You can start and stop usage as needed, and billing follows your actual runtime. This structure suits running the 24B-parameter reasoning model for agentic and tool-calling workloads on GPU hardware.
Top-of-mind questions for buyers
You run the model on a single g6e.xlarge GPU instance. This AWS instance type includes one GPU and is sized for inference workloads. The hourly rate covers the software running on that one instance. Underlying AWS infrastructure charges for the instance apply separately.
The software charge meters running time by the hour. When you stop the instance, the hourly software charge stops accruing. A stopped instance may still incur AWS storage fees for attached volumes, but the software meter follows active runtime only.
The model is a 24B-parameter reasoning model built for agents that reason, call tools, and run reliably. It supports function calling and multi-turn tool use. Hourly billing suits variable workloads where you start and stop the instance as needed, since cost scales with actual runtime.
huggingface.co
Helpful?
Vendor refund policy
Refunds may be considered on a per-case basis. Please contact us at support@salientengineering.com for inquiries.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Configured for production environments, please allow 10 minutes once the instance is powered on for the Ollama service to fully load the LLM. Ollama is exposed on port 11434.
Test via HTTP with: curl -X POST http://<PUBLIC_IP>:11434/api/generate -d '{"model":"lfm2.5:24b","prompt":"In one sentence, explain what a large language model is capable of."}'
Additional details
Usage instructions
- Deploy the EC2 instance, configure the Security Group to only allow inbound port 22 and 11434 from your trusted IP address(es)
- After the instance is powered on, allow 10 minutes for the server to load the LLM before sending requests.
- Access the LFM2.5 24B A2B model via the Ollama service exposed on port 11434 for HTTP.
Test via HTTP with: curl -X POST http://<PUBLIC_IP>:11434/api/generate -d '{"model":"lfm2.5:24b","prompt":"In one sentence, explain what a large language model is capable of."}'
Resources
Vendor resources
Support
Vendor support
The Salient Engineering support team can be reached at: support@salientengineering.com
Our team is happy to assist with deployment and configuration issues.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Similar products
A self-hosted, production-ready Gemma 4 26B model, with 4 billion active parameters deployed into your AWS environment with a single click. Because everything runs entirely within your private cloud, your data stays secure, isolated, and fully under your control. Best of all, unlimited tokens.
This product has charges associated with it for seller support. This AMI is a LAMP Web Server with phpMyAdmin installed on Ubuntu 24.
Liquid LFM 40B is designed to handle complex tasks, offering an optimal balance between size and output quality.
This product has charges associated with it for deployment support, and the aMiSTACX A51 Monitoring and Control dashboard. Ubuntu 24.04 LTS developer's stack deployed via an aMiSTACX G6F. Additionally, get AWS dashboard manageability with aMiSTACX's A51 Monitoring & Control Dashboard.
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.