Model reference · open weights
XCurOS1.2-VLBF16 is an open-weight language model from XCurOS. XCurOS1.2-8B-VLBF16-Instruct (BF16) weighs 17.5 GB; the smallest configuration that runs it is 2× RTX 3060 12 GB.
For self-hosting, compare this build's requirements below with the GPU you plan to rent.
Summary of the XCurOS/XCurOS1.2-8B-VLBF16-Instruct model card, 2026-10-01
What it is
| Released by | XCurOS |
|---|---|
| Released | 2026-02-25 |
| Parameters | 8.8B |
| VRAM | 17.5 GB for the weights |
What it runs on
| Card | Requests at once | Context max | Memory | |
|---|---|---|---|---|
| 8K each | 32K each | |||
| RTX 3060 12 GB … RTX 4060 Ti 16 GB 2 smaller cards | ||||
| RTX 3090 24 GB | 3 | 25K | 23.4 GB | |
| RTX 4090 24 GB | 3 | 25K | 23.4 GB | |
| RTX 5090 32 GB | 9 | 2 | 75K | 31.0 GB |
| L40S 48 GB | 20 | 5 | 161K | 44.0 GB |
| A100 80 GB | 48 | 12 | all 256K | 78.2 GB |
| H100 80 GB | 44 | 11 | all 256K | 78.1 GB |
| RTX PRO 6000 Blackwell 96 GB | 57 | 14 | all 256K | 93.8 GB |
| DGX Spark (GB10) 128 GB unified | 69 | 17 | all 256K | 107 GB |
| H200 141 GB | 94 | 23 | all 256K | 138 GB |
| B200 180 GB | 125 | 31 | all 256K | 176 GB |
| 2× RTX 3060 12 GB tensor parallel | 1 | 10K | 11.6 GB a card | |
| 2× RTX 4060 Ti 16 GB tensor parallel | 7 | 1 | 60K | 15.4 GB a card |
| 2× RTX 4090 24 GB tensor parallel | 20 | 5 | 166K | 23.4 GB a card |
| 2× RTX 3090 24 GB tensor parallel | 20 | 5 | 166K | 23.4 GB a card |
| Requests at once | 8K tokens each | 32K tokens each |
|---|---|---|
| 1 | 20.8 GB | 24.4 GB |
| 5 | 25.6 GB | 43.7 GB |
| 8 | 29.2 GB | 58.2 GB |
| 16 | 38.9 GB | 96.9 GB |
| 32 | 58.2 GB | 174 GB |
| 64 | 96.9 GB | 329 GB |
One card, with vLLM's small-card settings.
From the model card
XCurOS-1.2-8B-VLBF16-Instruct is a state-of-the-art proprietary multimodal model developed exclusively by XCurOS. It provides advanced understanding and reasoning across text and visual inputs, designed for secure, enterprise-grade, and on-premise deployments.
🔐 Security-First Design Engineered to operate safely in isolated and sensitive environments, ensuring full data privacy and integrity.
🧠 Advanced Multimodal Intelligence Combines text and visual perception for high-quality reasoning and understanding tasks.
🖥 Agent & System Integration Ready Compatible with operating system interfaces, automation pipelines, and agent workflows.
📄 Document & OCR Capabilities Extracts and interprets text from images, scanned documents, and complex layouts efficiently.
🎯 Instruction-Tuned Performance Fine-tuned to execute instructions accurately and reliably.
⚡ High Efficiency & Scalable Deployment Optimized for local machines and cloud infrastructure with efficient memory usage and inference speed.
🌐 Long-Context & Large-Scale Reasoning Capable of handling large documents, books, and extended multi-modal datasets with coherent understanding.
🧩 Extensible & Modular Architecture Easily integrated into custom applications, agent frameworks, and secure enterprise systems.
XCurOS-1.2-8B-VLBF16-Instruct architecture provides:
This is proprietary software. All rights are reserved by XCurOS. No part of this model may be copied, redistributed, or used without explicit authorization from XCurOS.
XCurOS maintains this model internally. For collaboration, licensing, or support, contact the XCurOS development team directly. All contributions, enhancements, or integrations require explicit permission from XCurOS.
Author: 35H - (f13b696767b224479d7a06bffae9a0b62e38e2e2)
Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.