Awards & Recognition
We are proud to be recognized for our excellence by important publications around the world.
Services
open-source LLMs Services
Open-source LLMs are large language models with publicly accessible designs, training data, and weights. Unlike private models, which need licensing fees and API subscriptions, open-source models allow organizations to customize, fine-tune, and deploy AI based on their requirements. This strategy provides better control over AI implementation, making it perfect for firms that value customization and visibility.
Grow. Together
Technologies We Use for Open-Source LLMs
Our Process
How We Build Open-Source LLMs
What our clients said
OPEN-SOURCE LLMs services
Types of Open-Source LLMs
-
Custom Models
Tailored language models for specific tasks and industries.
-
Task Automation
Streamline workflows with automated content generation, summarization, and more.
-
API Integration
Seamlessly integrate open-source LLMs with your existing systems and tools.
OPEN-SOURCE LLMs services in the USA
Why Choose US?
Sovanza offers top-tier Open-Source LLMs Services, combining advanced foundation models with expert customization and deployment. By leveraging powerful open-source LLMs, Sovanza helps businesses build intelligent systems, automate complex workflows, and reduce dependency on closed AI platforms. We deliver scalable, high-performance solutions backed by strong technical expertise and global standards. Whether you need custom model fine-tuning, AI agents, or fully integrated LLM-powered applications, Sovanza ensures your open-source AI solutions are efficient, reliable, and tailored to your unique business needs.
-
Professional experience.
-
150 projects successfully delivered.
-
High Quality Services.
-
Professional team.
OPEN-SOURCE LLMs services
Key Features of Open-Source LLMs
To maximize value from open-source LLMs, consider incorporating features such as modular customization, secure data handling, offline deployment, and cost-effective scalability.
Basic
Designed to cover essential features with a focus on simplicity and functionality.
$200 – $800
- ✅ Model Access & Hosting
- Choose from LLaMA 2, Mistral, Falcon, or OpenChat
- Hosted on Contabo, Local Server, or Light Cloud Instance
- Basic Model Deployment & REST API Access
- Lightweight Embeddings & Text Generation
- ✅ Developer Tools
- Prompt Playground Interface
- Model Parameter Tweaks (Temperature, Top-P, Max Tokens)
- Up to 10M tokens/month
- Dockerized Environment Setup
- ✅ Integration & Support
- API Integration with Web, CRM, and Internal Tools
- Email & Community Support
- Access to Docs & Setup Guides
- ✅ Usage & Performance
- 1 Model Instance
- Up to 50 Concurrent Users
- Limited Latency Optimization
Advanced
Built for scalable, high-performance projects with advanced features.
$1,000 – $5,000
- ✅ Model Options & Power
- Access to Fine-Tuned LLaMA 2, Mixtral, Mistral 7B/8x7B, Falcon 180B, etc.
- Hosted on Dedicated Contabo VPS / GPU Cloud (AWS, GCP, etc.)
- Long Context Support (Up to 65k tokens)
- Embedding, Completion, Chat & Function Calling APIs
- ✅ Advanced Capabilities
- Fine-Tuning & LoRA Adapter Support
- RAG Pipeline Setup (Retrieval-Augmented Generation)
- Vector Store Integration (e.g., Weaviate, Pinecone, Qdrant)
- Model Monitoring & Token Usage Analytics
- ✅ Integrations & Dev Tools
- Full API & SDK Access (Python, Node.js, etc.)
- Custom Deployment via Docker/Kubernetes
- LangChain / LlamaIndex Integration
- Support for Make.com & Workflow Automation
- ✅ Support & Optimization
- SLA-Based Support
- Performance Tuning & Scaling
- 24/7 Priority Support + Dedicated Engineer (Optional)
Enterprise
Tailored for large, fully customized solutions with advanced security and infrastructure.
Contact Us
- ✅ Model Options & Power
- Access to Fine-Tuned LLaMA 2, Mixtral, Mistral 7B/8x7B, Falcon 180B, etc.
- Hosted on Dedicated Contabo VPS / GPU Cloud (AWS, GCP, etc.)
- Long Context Support (Up to 65k tokens)
- Embedding, Completion, Chat & Function Calling APIs
- ✅ Advanced Capabilities
- Fine-Tuning & LoRA Adapter Support
- RAG Pipeline Setup (Retrieval-Augmented Generation)
- Vector Store Integration (e.g., Weaviate, Pinecone, Qdrant)
- Model Monitoring & Token Usage Analytics
- ✅ Integrations & Dev Tools
- Full API & SDK Access (Python, Node.js, etc.)
- Custom Deployment via Docker/Kubernetes
- LangChain / LlamaIndex Integration
- Support for Make.com & Workflow Automation
- ✅ Support & Optimization
- SLA-Based Support
- Performance Tuning & Scaling
- 24/7 Priority Support + Dedicated Engineer (Optional)
Frequently Asked Questions
FAQs
Can’t find what you’re looking for? don’t hesitate to reach out!
What are Open-Source LLMs?
Open-source LLMs are large language models with publicly available code, training data, and weights. They allow customization and deployment without licensing restrictions. They offer businesses greater flexibility, transparency, and cost-effective AI solutions.
What makes open-source LLMs different from proprietary models?
Open-source LLMs provide publicly available architectures, training data, and model weights, allowing businesses to modify, fine-tune, and deploy AI according to their needs. While proprietary models require licensing and limit flexibility, they are publicly available.
Can Sovanza provide multi-language AI solutions?
Yes, Sovanza customizes open-source LLMs to support multiple languages and dialects. Our AI solutions ensure accurate localization for businesses targeting diverse global audiences.
Which industries benefit most from Sovanza’s open-source LLMs?
Sovanza’s open-source LLMs benefit industries like healthcare, finance, e-commerce, legal services, and customer support. These AI solutions enhance automation, data analysis, and workflow efficiency across various sectors.
How long does it take to implement an Open-Source LLM solution?
Implementation time varies depending on your requirements, but most projects can be deployed within weeks with proper planning, data preparation, and integration.
Let’s build smarter
Ready to accelerate?
Build AI, blockchain, and growth systems that compound results.