Text Generation
Transformers
English
Bengali
entrogic
hyper-x
ai-agent
automation
assistant
multilingual
qwen
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
| license: apache-2.0 | |
| library_name: transformers | |
| pipeline_tag: text-generation | |
| base_model: Qwen/Qwen3-14B-Instruct | |
| tags: | |
| - entrogic | |
| - hyper-x | |
| - ai-agent | |
| - automation | |
| - assistant | |
| - multilingual | |
| - qwen | |
| language: | |
| - en | |
| - bn | |
| # Hyper-X-14B | |
| <div align="center"> | |
| # Hyper-X-14B | |
| ### Advanced AI Agent Foundation Model by Entrogic | |
| Built for AI Agents, Business Automation, Customer Engagement, and Intelligent Workflows. | |
| </div> | |
| --- | |
| ## 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: | |
| ```bash | |
| 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 |