Text Generation
Transformers
Safetensors
English
Arabic
qwen2
instruct
llm
secure
enterprise
on-premise
conversational
text-generation-inference
Instructions to use XCurOS/XCurOS0.1-8B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use XCurOS/XCurOS0.1-8B-Instruct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="XCurOS/XCurOS0.1-8B-Instruct") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("XCurOS/XCurOS0.1-8B-Instruct") model = AutoModelForCausalLM.from_pretrained("XCurOS/XCurOS0.1-8B-Instruct") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use XCurOS/XCurOS0.1-8B-Instruct with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "XCurOS/XCurOS0.1-8B-Instruct" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "XCurOS/XCurOS0.1-8B-Instruct", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/XCurOS/XCurOS0.1-8B-Instruct
- SGLang
How to use XCurOS/XCurOS0.1-8B-Instruct 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 "XCurOS/XCurOS0.1-8B-Instruct" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "XCurOS/XCurOS0.1-8B-Instruct", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'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 "XCurOS/XCurOS0.1-8B-Instruct" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "XCurOS/XCurOS0.1-8B-Instruct", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use XCurOS/XCurOS0.1-8B-Instruct with Docker Model Runner:
docker model run hf.co/XCurOS/XCurOS0.1-8B-Instruct
| license: other | |
| library_name: transformers | |
| tags: | |
| - instruct | |
| - llm | |
| - secure | |
| - enterprise | |
| - on-premise | |
| language: | |
| - en | |
| - ar | |
| pipeline_tag: text-generation | |
| # XCurOS-0.1-8B-Instruct | |
| ## XCurOS Secure Instruction Model | |
| **XCurOS-0.1-8B-Instruct** is a proprietary large language model developed exclusively by XCurOS. | |
| It delivers advanced natural language understanding, reasoning, and instruction-following capabilities, designed for secure enterprise and on-premise environments. | |
| --- | |
| ## Key Features | |
| π **Security-First Design** | |
| Built for operation in isolated and sensitive infrastructures with full data privacy. | |
| π§ **Advanced Language Intelligence** | |
| High-quality reasoning, coding, and complex instruction execution. | |
| π₯ **Agent & System Integration Ready** | |
| Designed for automation pipelines, OS-level agents, and enterprise workflows. | |
| π **Document Understanding** | |
| Capable of analyzing structured and unstructured text across large documents. | |
| π― **Instruction-Tuned Performance** | |
| Optimized to follow commands accurately and consistently. | |
| β‘ **Efficient Deployment** | |
| Suitable for local servers and cloud infrastructure with optimized performance. | |
| π **Long-Context Reasoning** | |
| Handles long conversations, books, and extensive datasets coherently. | |
| π§© **Extensible Architecture** | |
| Integrates easily into custom applications and secure enterprise systems. | |
| --- | |
| ## Architecture Overview | |
| XCurOS-0.1-8B-Instruct architecture provides: | |
| - Stable instruction alignment | |
| - Long-context processing | |
| - Efficient transformer-based reasoning | |
| - Flexible deployment from edge to cloud | |
| --- | |
| ## Use Cases | |
| - Secure enterprise AI assistants | |
| - Automation of internal workflows | |
| - Knowledge extraction from documents | |
| - Coding and technical reasoning | |
| - On-premise deployments requiring strict data privacy | |
| --- | |
| ## Model Card & Metadata | |
| **Model Name:** XCurOS-0.1-8B-Instruct | |
| **Organization:** XCurOS | |
| **Version:** 0.0.1 | |
| **License:** Proprietary software, all rights reserved | |
| **Instruction Tuned:** True | |
| **Secure OS Ready:** True | |
| **Intended Audience:** Enterprises, research labs, private users | |
| --- | |
| ## Deployment Recommendations | |
| - Deploy within secure enterprise infrastructure | |
| - Integrate into automation pipelines or agent systems | |
| - Ensure adequate GPU/CPU resources | |
| --- | |
| ## License & Usage | |
| This model is proprietary software owned by **XCurOS**. | |
| ### Personal Use | |
| The model may be used **for personal and research purposes only** when deployed on a **private server or local infrastructure**. | |
| Personal use includes: | |
| - Local experimentation | |
| - Research and learning | |
| - Non-commercial private projects | |
| ### Commercial Use | |
| **Commercial use is NOT permitted without an official license.** | |
| Any commercial activity including but not limited to: | |
| - Selling services powered by the model | |
| - Integrating the model into commercial products | |
| - SaaS platforms | |
| - Enterprise deployments for profit | |
| **Requires a separate commercial license from the XCurOS Team.** | |
| For commercial licensing inquiries, please contact the **XCurOS Team**. | |
| ### Restrictions | |
| Unauthorized redistribution, resale, or commercial usage of the model is strictly prohibited without written permission from **XCurOS**. | |
| --- | |
| ## Contribution & Support | |
| Maintained internally by **XCurOS**. | |
| For licensing, collaboration, or support, contact the **XCurOS Team**. | |
| --- | |
| **Author:** XCurOS-Team (f13b696767b224479d7a06bffae9a0b62e38e2e2) |