初始化项目，由ModelHub XC社区提供模型

Model: vectionlabs/VL-1-Coder
Source: Original Platform

README.md

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+---
+license: apache-2.0
+base_model: Qwen/Qwen2.5-Coder-7B-Instruct
+tags:
+- reasoning
+- coding
+- agent
+- qwen
+- code
+- local
+- vectionlabs
+- text-generation
+- custom-code
+language:
+- en
+pipeline_tag: text-generation
+---
+
+# VL-1-Coder
+
+**VL-1-Coder** is a state-of-the-art, 7-billion parameter Reasoning Coding Agent developed by **VectionLabs**. 
+
+Built on top of the powerful Qwen2.5-Coder-7B architecture, VL-1 has been heavily fine-tuned to fundamentally change how AI writes code: **Dense Reasoning + Zero Filler**.
+
+## The VectionLabs Methodology
+
+Most LLMs waste 60% of their output on polite filler text ("Sure! I'd be happy to help you with that..."). VL-1-Coder is trained to eliminate the noise:
+1. **THINK:** It reasons deeply inside `<thought>...</thought>` blocks. The reasoning is *dense* and compressed.
+2. **PLAN:** It maps out the architecture in bullet points.
+3. **CODE:** It outputs complete, production-ready code immediately. Zero boilerplate, zero chatting.
+
+## Core Specialties
+- **Elite Frontend:** High-end, stunning UIs using GSAP, Framer Motion, Three.js, and WebGL.
+- **Scalable Backend:** Secure, microservice-ready architectures.
+- **Advanced Mathematics:** Rigorous step-by-step algorithmic solutions.
+- **Agentic Execution:** Ability to decompose highly complex tasks into executable steps.