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README.md

@@ -1,3 +1,41 @@
----
-license: mit
----
+---
+language:
+- en
+base_model: Qwen/Qwen3-0.6B-Base
+tags:
+- qwen3
+- fine-tuned
+- narasimha
+- conversational
+license: apache-2.0
+---
+
+# Qwen3-0.6B Fine-tuned on Narasimha Dataset
+
+This model is a fine-tuned version of [Qwen/Qwen3-0.6B-Base](https://huggingface.co/Qwen/Qwen3-0.6B-Base) on the Narasimha dataset.
+
+## Training Details
+- Base model: Qwen/Qwen3-0.6B-Base
+- Dataset: sarthakrastogi/narasimha_dataset (500 samples)
+- Training epochs: 1
+- Batch size: 2
+- Data type: bf16
+
+## Usage
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model_name = "sarthakrastogi/narasimha-b-0.6b"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype="auto", device_map="auto")
+
+# Generate response
+content = "your question here"
+messages = [{"role": "user", "content": content}]
+prompt_text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True, enable_thinking=False)
+inputs = tokenizer(prompt_text, return_tensors="pt").to(model.device)
+output_ids = model.generate(**inputs, max_new_tokens=100)
+response = tokenizer.decode(output_ids[0][inputs['input_ids'].shape[1]:], skip_special_tokens=True)
+print(response)
+```