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Model: sowilow/LFM2.5-1.2B-Instruct-DGX-Spark-GGUF
Source: Original Platform

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README.md

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+---
+license: apache-2.0
+base_model: LiquidAI/LFM2.5-1.2B-Instruct
+language:
+- en
+pipeline_tag: text-generation
+tags:
+- 4-bit
+- 8-bit
+- blackwell-optimized
+- dgx-spark
+- gguf
+- liquid-ai
+- quantized
+- sm121
+---
+
+---
+
+## 🚀 v0.1.6: Real-time Metrics & Blackwell-Optimized Docker (Recommended)
+
+This model is fully compatible with the **[DGX-Spark-llama.cpp-Bench](https://github.com/sowilow/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
+# Pull the latest optimized image
+docker pull ghcr.io/sowilow/dgx-spark-llama.cpp-bench:v0.1.6
+```
+For more details, visit our [GitHub Repository](https://github.com/sowilow/DGX-Spark-llama.cpp-Bench).
+
+---
+
+## 🚀 v0.1.6: 실시간 지표 및 Blackwell 최적화 도커 (권장)
+
+이 모델은 **[DGX-Spark-llama.cpp-Bench](https://github.com/sowilow/DGX-Spark-llama.cpp-Bench)** 시스템에 최적화되어 있습니다.
+NVIDIA Blackwell (DGX Spark) 하드웨어의 성능을 최대로 활용하세요.
+
+### 🌟 주요 특징 (v0.1.6)
+- **실시간 성능 지표 시각화**: 스트리밍 중 `Input TPS` 및 `Output TPS`를 실시간으로 표시합니다.
+- **지능형 추론 UI 고도화**: 모델의 생각하는 과정(CoT)을 더 안정적으로 렌더링합니다.
+- **Blackwell 최적화**: ARM64/SM121 아키텍처 및 CUDA 13.0 FP4 가속 지원.
+
+### 🐳 실행 방법
+```bash
+# 최신 최적화 이미지 내려받기
+docker pull ghcr.io/sowilow/dgx-spark-llama.cpp-bench:v0.1.6
+```
+상세한 사용법은 [GitHub 리포지토리](https://github.com/sowilow/DGX-Spark-llama.cpp-Bench)를 참조하세요.
+
+---
+
+
+---
+
+## 🚀 v0.1.5: Real-time Metrics & Blackwell-Optimized Docker (Recommended)
+
+This model is fully compatible with the **[DGX-Spark-llama.cpp-Bench](https://github.com/sowilow/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
+# Pull the latest optimized image
+docker pull ghcr.io/sowilow/dgx-spark-llama.cpp-bench:v0.1.5
+```
+For more details, visit our [GitHub Repository](https://github.com/sowilow/DGX-Spark-llama.cpp-Bench).
+
+---
+
+## 🚀 v0.1.5: 실시간 지표 및 Blackwell 최적화 도커 (권장)
+
+이 모델은 **[DGX-Spark-llama.cpp-Bench](https://github.com/sowilow/DGX-Spark-llama.cpp-Bench)** 시스템에 최적화되어 있습니다.
+NVIDIA Blackwell (DGX Spark) 하드웨어의 성능을 최대로 활용하세요.
+
+### 🌟 주요 특징 (v0.1.5)
+- **실시간 성능 지표 시각화**: 스트리밍 중 `Input TPS` 및 `Output TPS`를 실시간으로 표시합니다.
+- **지능형 추론 UI 고도화**: 모델의 생각하는 과정(CoT)을 더 안정적으로 렌더링합니다.
+- **Blackwell 최적화**: ARM64/SM121 아키텍처 및 CUDA 13.0 FP4 가속 지원.
+
+### 🐳 실행 방법
+```bash
+# 최신 최적화 이미지 내려받기
+docker pull ghcr.io/sowilow/dgx-spark-llama.cpp-bench:v0.1.5
+```
+상세한 사용법은 [GitHub 리포지토리](https://github.com/sowilow/DGX-Spark-llama.cpp-Bench)를 참조하세요.
+
+---
+
+
+---
+
+## 🚀 v0.1.4: Quick Start with Blackwell-Optimized Docker (Recommended)
+
+This model is fully compatible with the **[DGX-Spark-llama.cpp-Bench](https://github.com/sowilow/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
+# Pull the latest optimized image
+docker pull ghcr.io/sowilow/dgx-spark-llama.cpp-bench:v0.1.4
+
+# Follow the instructions in our repo to serve this model
+# 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](https://github.com/sowilow/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
+# 최신 최적화 이미지 내려받기
+docker pull ghcr.io/sowilow/dgx-spark-llama.cpp-bench:v0.1.4
+```
+상세한 사용법은 [GitHub 리포지토리](https://github.com/sowilow/DGX-Spark-llama.cpp-Bench)를 참조하세요.
+
+---
+
+
+
+---
+
+## 🚀 Quick Start with Docker (Recommended)
+
+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).
+
+### 1. Pull the Docker Image
+```bash
+docker pull ghcr.io/sowilow/dgx-spark-llama.cpp-bench:latest
+```
+
+### 2. Run the Inference Server
+For detailed configuration and usage, visit the [GitHub Repository](https://github.com/sowilow/DGX-Spark-llama.cpp-Bench).
+
+---
+
+
+# LFM2.5-1.2B-Instruct-DGX-Spark-GGUF
+
+This repository contains GGUF-quantized weights for **LFM2.5-1.2B-Instruct**, specifically optimized for **NVIDIA Blackwell (DGX Spark)** hardware.
+
+## 🚀 Key Features
+- **Hardware Optimized**: Built with CUDA 13.0 and SM121 (Blackwell) native acceleration.
+- **Quantization**: 
+  - **Q4_K_M**: Balanced performance and accuracy.
+  - **Q8_0**: High precision preservation.
+- **Base Model Integration**: Linked directly to the original [LiquidAI/LFM2.5-1.2B-Instruct](https://huggingface.co/LiquidAI/LFM2.5-1.2B-Instruct).
+
+## ⚖️ License & Attribution
+This model is a quantized version of the original [LiquidAI/LFM2.5-1.2B-Instruct](https://huggingface.co/LiquidAI/LFM2.5-1.2B-Instruct) and is subject to its original license.
+
+## 📂 Files Included
+- `lfm2.5-1.2b-instruct-q4_k_m.gguf`: 4-bit quantized model.
+- `lfm2.5-1.2b-instruct-q8_0.gguf`: 8-bit quantized model.
+
+---
+*Created using [DGX-Spark-llama.cpp-Bench](https://github.com/sowilow/DGX-Spark-llama.cpp-Bench)*

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