Update README.md

README.md

@@ -1,3 +1,41 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+language:
+- en
+base_model:
+- Qwen/Qwen3-14B
+---
+
+# Model Card for Melinoe-14B
+
+### **Model Information**
+
+*   **Model Name:** `Melinoe-14B`
+*   **Base Model:** `Qwen3-14B`
+*   **Model Type:** A causal language model fine-tuned for `[e.g., instruction following, dialogue, code generation]`.
+*   **License:** `[e.g., Apache 2.0, MIT]`
+
+### **Intended Use**
+
+This model is designed for `[briefly describe the primary use case, e.g., 'serving as a conversational chatbot on technology-related topics']`. It should not be used for high-stakes decisions or generating harmful content. Fact-check important information.
+
+### **Limitations**
+
+The model may produce factually incorrect or biased information. Its knowledge is limited to its training data and it can be prone to hallucination.
+
+### **How to Use**
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Load model and tokenizer
+model_name = "[your-model-name-on-huggingface-or-local-path]"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+# Generate text
+prompt = "Your prompt here"
+inputs = tokenizer(prompt, return_tensors="pt")
+outputs = model.generate(**inputs, max_new_tokens=100)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```