初始化项目，由ModelHub XC社区提供模型

Model: ankitkushwaha90/tech3space3-0.6B
Source: Original Platform

run_fft_model.py

@@ -0,0 +1,76 @@
+import torch
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+MODEL_PATH = "./outputs/qwen3_0.6b_fft"
+
+print("Loading tokenizer...")
+tokenizer = AutoTokenizer.from_pretrained(
+    MODEL_PATH,
+    trust_remote_code=True
+)
+
+print("Loading model...")
+
+dtype = (
+    torch.bfloat16
+    if torch.cuda.is_available() and torch.cuda.is_bf16_supported()
+    else torch.float16
+)
+
+model = AutoModelForCausalLM.from_pretrained(
+    MODEL_PATH,
+    dtype=dtype,
+    trust_remote_code=True,
+    device_map="auto"
+)
+
+model.eval()
+
+print("=" * 60)
+print("Qwen3 Full Fine-Tuned Model")
+print("Type 'exit' to quit")
+print("=" * 60)
+
+while True:
+
+    user_input = input("\nUser: ")
+
+    if user_input.lower() in ["exit", "quit"]:
+        break
+
+    messages = [
+        {
+            "role": "user",
+            "content": user_input
+        }
+    ]
+
+    text = tokenizer.apply_chat_template(
+        messages,
+        tokenize=False,
+        add_generation_prompt=True
+    )
+
+    inputs = tokenizer(
+        text,
+        return_tensors="pt"
+    ).to(model.device)
+
+    with torch.no_grad():
+
+        outputs = model.generate(
+            **inputs,
+            max_new_tokens=512,
+            temperature=0.7,
+            top_p=0.95,
+            do_sample=True,
+            repetition_penalty=1.1,
+            eos_token_id=tokenizer.eos_token_id
+        )
+
+    response = tokenizer.decode(
+        outputs[0][inputs["input_ids"].shape[1]:],
+        skip_special_tokens=True
+    )
+
+    print("\nAssistant:", response)