初始化项目，由ModelHub XC社区提供模型

Model: tabularisai/Qwen3-0.3B-distil
Source: Original Platform

README.md

@@ -0,0 +1,35 @@
+---
+license: apache-2.0
+base_model:
+- Qwen/Qwen3-0.6B
+tags:
+- distillation
+language:
+- en
+pipeline_tag: text-generation
+---
+
+***Work in progress***
+---
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+model_id = "tabularisai/Qwen3-0.3B-distil"
+device = "cuda" if torch.cuda.is_available() else "cpu"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.bfloat16, device_map="auto")
+
+messages = [
+    {"role": "system", "content": "You are a helpful assistant."},
+    {"role": "user", "content": "What is a capital of France?"}
+]
+
+inputs = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt").to(model.device)
+outputs = model.generate(inputs, max_new_tokens=100, temperature=0.5, repetition_penalty=1.2)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+tabularis.ai