初始化项目，由ModelHub XC社区提供模型

Model: beyoru/EvolLLM
Source: Original Platform

README.md

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+---
+base_model:
+- Qwen/Qwen3-4B-Instruct-2507
+- Qwen/Qwen3-4B-Thinking-2507
+library_name: transformers
+datasets:
+- openai/gsm8k
+tags:
+- evoluation
+- math
+- merge
+---
+
+# 📑 Model Card
+
+
+[![GitHub](https://img.shields.io/badge/GitHub-181717?style=flat-square&logo=github&logoColor=white)](https://github.com/Hert4)
+[![HuggingFace](https://img.shields.io/badge/HuggingFace-FFD21E?style=flat-square&logo=huggingface&logoColor=black)](https://huggingface.co/beyoru)
+[![BMC](https://img.shields.io/badge/buy_me_a_coffee-A78BFA?style=flat-square&logo=buy-me-a-coffee&logoColor=white)](https://buymeacoffee.com/ductransa0g)
+
+## Model Details
+This model is a merged version of two Qwen base models:  
+- **Qwen/Qwen3-4B-Instruct-2507**  
+- **Qwen/Qwen3-4B-Thinking-2507**  
+
+
+## Notations:
+- **Evoluation dataset**: `openai/gsm8k` (subset of 100 samples, not trained)  
+- **Generation runs**: 50  
+- **Population size**: 10
+- This model design for instruct model not reasoning model with same function like Qwen3-Instruct-2507
+- **A good start for SFT or GRPO training.**
+
+## Evaluation
+
+- For my evaluation in my agent benchmark is not surpass too much but only 3% with instruct model.
+- Surpass `openfree/Darwin-Qwen3-4B` (Evolution model) and base model in ACEBench.
+
+
+```bibtex
+@misc{nafy_qwen_merge_2025,
+  title        = {Merged Qwen3 4B Instruct + Thinking Models},
+  author       = {Beyoru},
+  year         = {2025},
+  howpublished = {\url{https://huggingface.co/beyoru/EvolLLM}},
+  note         = {Merged model combining instruction-tuned and reasoning Qwen3 variants.},
+  base_models  = {Qwen/Qwen3-4B-Instruct-2507, Qwen/Qwen3-4B-Thinking-2507}
+}