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{"action": "BUY_UP/BUY_DOWN/SKIP", "confidence": 0.58-0.75, "reasoning": "简要分析理由"}1python -m vllm.entrypoints.openai.api_server \
2 --model ma-tnt/Qwen3-8B-BTC-v5 \
3 --tensor-parallel-size 2 \
4 --port 80011from transformers import AutoModelForCausalLM, AutoTokenizer
2
3model = AutoModelForCausalLM.from_pretrained("ma-tnt/Qwen3-8B-BTC-v5", torch_dtype="auto", device_map="auto")
4tokenizer = AutoTokenizer.from_pretrained("ma-tnt/Qwen3-8B-BTC-v5")
5
6messages = [
7 {"role": "system", "content": "你是一个专业的加密货币交易分析师..."},
8 {"role": "user", "content": "分析以下K线数据..."}
9]
10
11text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
12inputs = tokenizer([text], return_tensors="pt").to(model.device)
13outputs = model.generate(**inputs, max_new_tokens=512)
14print(tokenizer.decode(outputs[0], skip_special_tokens=True))