Instructions to use entrogic/Hyper-X-14B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use entrogic/Hyper-X-14B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="entrogic/Hyper-X-14B")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("entrogic/Hyper-X-14B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use entrogic/Hyper-X-14B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "entrogic/Hyper-X-14B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "entrogic/Hyper-X-14B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/entrogic/Hyper-X-14B
- SGLang
How to use entrogic/Hyper-X-14B with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "entrogic/Hyper-X-14B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "entrogic/Hyper-X-14B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "entrogic/Hyper-X-14B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "entrogic/Hyper-X-14B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use entrogic/Hyper-X-14B with Docker Model Runner:
docker model run hf.co/entrogic/Hyper-X-14B
Hyper-X-14B
Hyper-X-14B
Advanced AI Agent Foundation Model by Entrogic
Built for AI Agents, Business Automation, Customer Engagement, and Intelligent Workflows.
Overview
Hyper-X-14B is an advanced language model developed by Entrogic and built upon the capabilities of Qwen3-14B-Instruct.
The model is designed to serve as a foundation for:
- AI Agent Automation
- Customer Support Systems
- Lead Generation Workflows
- Sales Assistance
- Business Process Automation
- Multi-Agent Architectures
- Knowledge Assistants
- Workflow Orchestration
Hyper-X-14B is optimized for instruction following, reasoning, tool integration, and conversational interactions.
Key Features
- Strong multilingual capabilities
- Agent-oriented instruction following
- Business workflow automation
- Customer communication support
- Long-context conversations
- API and tool-calling friendly
- Suitable for RAG-based systems
- Optimized for automation use cases
Recommended Use Cases
AI Agents
- Booking Agents
- Customer Support Agents
- Sales Agents
- CRM Assistants
- Knowledge Base Agents
- Workflow Coordinators
Business Automation
- Lead Qualification
- Client Onboarding
- Proposal Generation
- Internal Operations
- Process Automation
Development
- AI Agent Development
- LangGraph Applications
- n8n Workflows
- MCP Integrations
- API Automation
Deployment
Hyper-X-14B can be deployed using:
- vLLM
- Transformers
- Text Generation Inference (TGI)
- Ollama (GGUF Variant)
- llama.cpp (GGUF Variant)
Example:
vllm serve entrogic/Hyper-X-14B \
--served-model-name hyper-x-14b
Model Information
| Item | Value |
|---|---|
| Model Name | Hyper-X-14B |
| Developer | Entrogic |
| Base Model | Qwen3-14B-Instruct |
| Model Type | Causal Language Model |
| Primary Domain | AI Agent Automation |
| Languages | English, Bengali, Multilingual |
Attribution
Hyper-X-14B is based on Qwen3-14B-Instruct.
All credit for the original model architecture, training, and weights belongs to the Qwen Team.
This repository provides branding, deployment configuration, documentation, and usage guidance under the Hyper-X-14B identity.
Disclaimer
Hyper-X-14B may generate inaccurate or incomplete information. Users should verify outputs before using them in production, legal, financial, medical, or safety-critical environments.
About Entrogic
Entrogic specializes in:
- AI Agent Development
- Workflow Automation
- Business Process Automation
- Customer Communication Systems
- Intelligent Software Solutions
For enterprise solutions and custom AI agent development, contact Entrogic.
© Entrogic
docker model run hf.co/entrogic/Hyper-X-14B