初始化项目，由ModelHub XC社区提供模型

Model: ansh0x/ace-0.5b-gguf
Source: Original Platform

README.md

@@ -0,0 +1,109 @@
+---
+license: cc-by-nc-sa-4.0
+base_model: Qwen/Qwen2.5-0.5B-Instruct
+tags:
+  - task-automation
+  - local-llm
+  - gguf
+  - cpu-inference
+  - fine-tuned
+language:
+  - en
+library_name: llama-cpp
+pipeline_tag: text-generation
+---
+
+# ACE 0.5B - Task Automation Model
+
+Fine-tuned Qwen 0.5B for local task automation. Detects task types and generates execution plans.
+
+**Code:** [GitHub](https://github.com/ansh0x/ace)
+
+## Model Description
+
+ACE is a 0.5B parameter language model fine-tuned for task automation. It can:
+- Classify tasks (atomic, repetitive, clarification needed)
+- Generate CLI commands for file operations
+- Create execution plans with hotkeys
+- Handle repetitive bulk operations
+
+All inference runs on CPU - no GPU required.
+
+## Model Files
+
+| File | Size | Quant | Use Case |
+|------|------|-------|----------|
+| `ace-bf16.gguf` | 940MB | BF16 | **Recommended** - A bit slower inference, but better quality |
+| `ace-q4-k-m.gguf` | 385MB | Q4_K_M | Faster inference |
+
+## Training Details
+
+**Base Model:** Qwen/Qwen2-0.5B  
+**Method:** LoRA fine-tuning (r=16, alpha=32)  
+**Dataset:** ~1000 custom task examples  
+**Training:** 500-700 steps, learning_rate=3e-5  
+**Quantization:** GGUF Q4_K_M with imatrix  
+
+**Task Types:**
+- Atomic tasks (single operations)
+- Repetitive tasks (bulk processing)
+- Clarification requests (ambiguous inputs)
+
+**Data Format:**
+```json
+Input: {"task": "...", "directory": [...], "available_hotkeys": [...]}
+Output: {"task_type": "atomic", "output": {"execution_plan": {...}}}
+```
+
+## Usage
+- Right now the model is a bit unstable and intended for only experimental usages.
+- Refer to the GitHub repo for installation and usage.
+
+## Limitations
+
+- Requires explicit file paths (no smart file search)
+- Optimized for Linux commands (Should be able to work on Windows)
+- CPU inference only (3-10 seconds on i3/i5)
+- No visual understanding (text-only)
+- English language only
+
+## Performance
+
+**Hardware benchmarks:**
+- Intel i5 (2018+): 3-5 seconds per task
+- Intel i3 (2015+): 5-10 seconds per task
+- Older hardware: 30-90 seconds per task
+
+## Bias and Ethics
+
+**Known biases:**
+- Training data focused on common developer workflows
+- Linux command bias (more Linux than Windows examples)
+- English-only (no multilingual support)
+
+**Ethical considerations:**
+- Model can generate destructive commands (file deletion)
+- Users should review plans before execution
+- No built-in safety checks for harmful operations
+
+## License
+
+**CC BY-NC-SA 4.0** (Non-commercial)
+
+- ✅ Free for personal/research use
+- ❌ Commercial use requires separate license
+- ✅ Must provide attribution
+- ✅ Derivatives must use same license
+
+**Additional Restriction:**
+Training of AI/ML models using these weights is prohibited without explicit written permission.
+
+## Contact
+
+- **Issues:** [GitHub Issues](https://github.com/ansh0x/ace/issues)
+- **Discussions:** [GitHub Discussions](https://github.com/ansh0x/ace/discussions)
+
+---
+
+**More info:** [GitHub Repository](https://github.com/ansh0x/ace)
+```