This model is fully compatible with the DGX-Spark-llama.cpp-Bench.
Experience the state-of-the-art inference engine optimized for NVIDIA Blackwell (DGX Spark) hardware.
🌟 Key Features (v0.1.6)
Real-time Performance Metrics: Now visualizes Input TPS and Output TPS during streaming.
Improved Reasoning UI: Seamlessly renders and stabilizes the model's Chain-of-Thought (CoT).
Blackwell Optimization: Native support for ARM64/SM121 and CUDA 13.0 FP4.
🐳 Quick Start
bash
1# Pull the latest optimized image2docker pull ghcr.io/sowilow/dgx-spark-llama.cpp-bench:v0.1.6
This model is fully compatible with the DGX-Spark-llama.cpp-Bench.
Experience the state-of-the-art inference engine optimized for NVIDIA Blackwell (DGX Spark) hardware.
🌟 Key Features (v0.1.5)
Real-time Performance Metrics: Now visualizes Input TPS and Output TPS during streaming.
Improved Reasoning UI: Seamlessly renders and stabilizes the model's Chain-of-Thought (CoT).
Blackwell Optimization: Native support for ARM64/SM121 and CUDA 13.0 FP4.
🐳 Quick Start
bash
1# Pull the latest optimized image2docker pull ghcr.io/sowilow/dgx-spark-llama.cpp-bench:v0.1.5
🚀 v0.1.4: Quick Start with Blackwell-Optimized Docker (Recommended)
This model is fully compatible with the DGX-Spark-llama.cpp-Bench.
Experience the best performance on NVIDIA Blackwell (DGX Spark) hardware with our optimized inference engine.
🌟 Key Features (v0.1.4)
Blackwell Optimized: Native support for ARM64/SM121 and CUDA 13.0 FP4.
Intelligent Reasoning UI: Automatic extraction and visualization of reasoning processes (CoT).
One-Click Deployment: Standardized environment via GHCR Docker image.
🐳 How to Run
bash
1# Pull the latest optimized image2docker pull ghcr.io/sowilow/dgx-spark-llama.cpp-bench:v0.1.4
34# Follow the instructions in our repo to serve this model5# GitHub: https://github.com/sowilow/DGX-Spark-llama.cpp-Bench
🚀 v0.1.4: Blackwell 최적화 도커 퀵스타트 (권장)
이 모델은 DGX-Spark-llama.cpp-Bench 시스템에 최적화되어 있습니다.
NVIDIA Blackwell (DGX Spark) 하드웨어의 성능을 최대로 활용하는 최적화된 추론 엔진을 경험해 보세요.
🌟 주요 특징 (v0.1.4)
Blackwell 최적화: ARM64/SM121 아키텍처 및 CUDA 13.0 FP4 하드웨어 가속 지원.
지능형 추론 UI: 모델의 생각하는 과정(CoT)을 자동으로 감지하고 시각화합니다.
간편한 배포: GHCR 도커 이미지를 통해 환경 설정 없이 즉시 실행 가능합니다.
🐳 실행 방법
bash
1# 최신 최적화 이미지 내려받기2docker pull ghcr.io/sowilow/dgx-spark-llama.cpp-bench:v0.1.4
You can easily run this model using the DGX-Spark-llama.cpp-Bench inference engine. It's pre-configured for high-performance inference on NVIDIA hardware (especially Blackwell/DGX Spark).
