初始化项目，由ModelHub XC社区提供模型

Model: agentbyumer/mini-gemma
Source: Original Platform

README.md

@@ -0,0 +1,59 @@
+---
+license: mit
+base_model: google/gemma-2b
+tags:
+- text-generation-inference
+- transformers
+- gemma
+- mini-gemma
+- agentic-ai
+model_type: gemma
+pipeline_tag: text-generation
+---
+
+# Mini-Gemma Custom Model
+
+This repository contains a custom domain-specialized fine-tune of the Gemma architecture, optimized for specific text distributions and patterns. The model was trained using the Hugging Face `Trainer` on an accelerated NVIDIA GPU cluster.
+
+## 📊 Training Performance & Metrics
+
+The model successfully converged over its training run with highly stable gradients:
+* **Total Training Steps:** 20,000
+* **Final Total Train Loss:** `3.478`
+* **Final Step Loss:** `2.988`
+* **Gradient Norm Stability:** Stable at `~1.12`
+* **Training Status:** Complete / Fully Converged
+
+## 🚀 Quick Start & Usage
+
+You can easily load and run this model locally using the Transformers library:
+
+```python
+import torch
+from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
+
+model_id = "agentbyumer/mini-gemma"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype=torch.float16,
+    device_map="auto"
+)
+
+generator = pipeline("text-generation", model=model, tokenizer=tokenizer)
+
+prompt = "Your specialized prompt here"
+outputs = generator(
+    prompt, 
+    max_new_tokens=150, 
+    do_sample=True, 
+    temperature=0.7,
+    return_full_text=False
+)
+print(outputs[0]['generated_text'])
+```
+
+## 📜 License
+
+This project is licensed under the permissive MIT License. See the accompanying [LICENSE](./LICENSE) file for full details.