Fastest measured Qwen3.8-27B config for DGX Spark (GB10): SGLang + NVFP4 + DFlash2, 71.4 tok/s greedy median, 1M context, deterministic boots. Flash-Next 176B on one box. One command, everything pinned, and a local cockpit to drive it.
⚡ Executive Summary & Quick Facts
Authoritative Sourcedgx-spark-qwen38 is dgx-spark-qwen38 is an open-source project written in Python: Fastest measured Qwen3.8-27B config for DGX Spark (GB10): SGLang + NVFP4 + DFlash2, 71.4 tok/s greedy median, 1M context, deterministic boots. Flash-Next 176B on one box. One command, everything pinned, and a local cockpit to drive it..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), hasso5703/dgx-spark-qwen38 has accumulated 228 GitHub stars and 26 forks. It is written in Python, licensed under MIT, and ranks #16,242 globally. It is actively maintained with the latest commit recorded on Oct 17, 2026.”
| Repository | hasso5703/dgx-spark-qwen38 ↗ |
|---|---|
| Primary Category | dgx spark |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 228 stars · ⑂ 26 forks · #16,242 globally |
| Maintenance | ● Active (Last commit: Oct 17, 2026) · 0 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 88/100 · Grade AYes, dgx-spark-qwen38 is actively maintained. Continuous telemetry recorded the last code commit on Oct 17, 2026 (17 days ago). Supported by 228 stars and 26 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (17 days ago) and healthy issue cadence.
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#2,096
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +3 | +10 |
dgx-spark-qwen38 gained 10 stars in the last 30 days, about 1 a day, and now has 228. It is about 1 year old and has averaged roughly 228 stars a year. It ranks #2,096 among Python repositories and #16,242 across all languages on GitHubRepo.
Trending Record
16
DAYS ON TRENDING
#12255
BEST RANK
Oct 17, 2026
FIRST APPEARANCE
Active
STATUS TODAY
dgx-spark-qwen38 has maintained a continuous presence across global trending indexes, peaking at #12255. Below is the 30-day activity profile:
💡 Overview
dgx-spark-qwen38 is an open-source project written in Python: Fastest measured Qwen3.8-27B config for DGX Spark (GB10): SGLang + NVFP4 + DFlash2, 71.4 tok/s greedy median, 1M context, deterministic boots. Flash-Next 176B on one box. One command, everything pinned, and a local cockpit to drive it.
Engineered for speed, consistency, and developer ease, it solves common hurdles in dgx-spark, gb10, local-llm. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install dgx-spark-qwen38⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
dgx-spark-qwen38 coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with dgx-spark-qwen38.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install dgx-spark-qwen38 using your package manager: `pip install dgx-spark-qwen38`
Initialize your project workspace or configuration file for dgx-spark-qwen38.
Import dgx-spark-qwen38 into your codebase or invoke it directly from your terminal.
Execute your test suite or run `dgx-spark-qwen38 --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
hasso5703/dgx-spark-qwen38 is currently ranked #16,242 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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Frequently Asked Questions
What does dgx-spark-qwen38 do? +
Fastest measured Qwen3.8-27B config for DGX Spark (GB10): SGLang + NVFP4 + DFlash2, 71.4 tok/s greedy median, 1M context, deterministic boots. Flash-Next 176B on one box. One command, everything pinned, and a local cockpit to drive it.
Is dgx-spark-qwen38 actively maintained in 2026? +
Yes, dgx-spark-qwen38 is actively maintained. The latest code push was recorded on Oct 17, 2026 (17 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 228 stars and 0 open issues.
What language is dgx-spark-qwen38 written in? +
The primary language is Python. Topics include: dgx-spark, gb10, local-llm, nvfp4, qwen.
How many stars does dgx-spark-qwen38 have? +
dgx-spark-qwen38 has 228 stars and 26 forks on GitHub.
How does dgx-spark-qwen38 rank among GitHub repositories? +
With 228 stars, hasso5703/dgx-spark-qwen38 is ranked #16,242 globally across all repositories tracked on GitHubRepo and #2,096 among Python projects.
What license is dgx-spark-qwen38 distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
