{"id":53748,"date":"2025-02-16T14:48:21","date_gmt":"2025-02-16T06:48:21","guid":{"rendered":"https:\/\/fwq.ai\/blog\/53748\/"},"modified":"2025-02-16T14:48:21","modified_gmt":"2025-02-16T06:48:21","slug":"%e7%94%a8smolagents%e5%bc%80%e5%8f%91ai%e4%bb%a3%e7%90%86","status":"publish","type":"post","link":"https:\/\/fwq.ai\/blog\/53748\/","title":{"rendered":"\u7528Smolagents\u5f00\u53d1AI\u4ee3\u7406"},"content":{"rendered":"

\u672c\u6559\u7a0b\u63a2\u8ba8\u4e86\u4e00\u4e2a\u5b9e\u7528\u7684\u793a\u4f8b\uff0c\u901a\u8fc7\u5c06\u5f3a\u5927\u7684 Llama 2 \u8bed\u8a00\u6a21\u578b\u4e0e smolagents \u6846\u67b6\u96c6\u6210\u6765\u6784\u5efa AI \u4ee3\u7406\u3002\u6211\u4eec\u5c06\u5206\u6790\u4e00\u4e2a\u4ee3\u7801\u7247\u6bb5\uff08\u53ef\u5728 \u4e0a\u627e\u5230\uff09\uff0c\u8be5\u7247\u6bb5\u4f5c\u4e3a\u95ee\u7b54\u4efb\u52a1\u7684\u6982\u5ff5\u9a8c\u8bc1\uff08POC\uff09\u3002\u8fd9\u4e2a\u7ec3\u4e60\u4e3a\u6784\u5efa\u66f4\u5f3a\u5927\u548c\u81ea\u4e3b\u7684 AI \u7cfb\u7edf\u63d0\u4f9b\u4e86\u5b9d\u8d35\u7684\u89c1\u89e3\u3002<\/p>\n

1\u3001\u52a0\u8f7d\u548c\u4f18\u5316\u8bed\u8a00\u6a21\u578b<\/h2>\n

\u7b2c\u4e00\u6b65\u6d89\u53ca\u4ece Hugging Face Transformers \u52a0\u8f7d Llama 2 7B \u804a\u5929\u6a21\u578b\u7684\u91cf\u5316\u7248\u672c\u3002\u8fd9\u91cc\u4f7f\u7528\u4e86 4 \u4f4d\u91cf\u5316\u3002<\/p>\n

\u50cf Llama 2 \u8fd9\u6837\u7684\u5927\u578b\u8bed\u8a00\u6a21\u578b\u5177\u6709\u6570\u767e\u4e07\u6216\u6570\u5341\u4ebf\u4e2a\u53c2\u6570\uff0c\u9700\u8981\u5927\u91cf\u7684\u5185\u5b58\u548c\u5904\u7406\u80fd\u529b\u30024 \u4f4d\u91cf\u5316\u662f\u4e00\u79cd\u6280\u672f\uff0c\u53ef\u4ee5\u5728\u4e0d\u663e\u8457\u727a\u7272\u6027\u80fd\u7684\u60c5\u51b5\u4e0b\u51cf\u5c11\u8fd9\u4e9b\u6a21\u578b\u7684\u5185\u5b58\u5360\u7528\u3002<\/p>\n

\u4e0e\u5c06\u6bcf\u4e2a\u53c2\u6570\u5b58\u50a8\u4e3a\u5168\u7cbe\u5ea6\u6d6e\u70b9\u6570\uff08\u901a\u5e38\u4e3a 32 \u4f4d\uff09\u4e0d\u540c\uff0c4 \u4f4d\u91cf\u5316\u5c06\u5b83\u4eec\u538b\u7f29\u4e3a\u4ec5 4 \u4f4d\u3002\u8fd9\u5c06\u6a21\u578b\u7684\u5927\u5c0f\u51cf\u5c11\u4e86 8 \u500d\uff0c\u4f7f\u5176\u66f4\u6613\u4e8e\u5728\u6d88\u8d39\u7ea7\u786c\u4ef6\u4e0a\u8fd0\u884c\u6216\u5728\u8d44\u6e90\u53d7\u9650\u7684\u73af\u5883\u4e2d\u90e8\u7f72\u3002<\/p>\n

\u4ee3\u7801\u4f7f\u7528 Hugging Face Transformers \u7684 BitsAndBytesConfig<\/code> \u6765\u5b9e\u73b0\u8fd9\u79cd\u91cf\u5316\uff1a<\/p>\n

bnb_config = BitsAndBytesConfig(\n    load_in_4bit=True,\n    bnb_4bit_quant_type=\"nf4\",\n    bnb_4bit_use_double_quant=True,\n    bnb_4bit_compute_dtype=torch.bfloat16\n)\n\nmodel = AutoModelForCausalLM.from_pretrained(model_id, device_map=\"auto\", quantization_config=bnb_config)\n<\/code><\/pre>\n
\u6b64\u914d\u7f6e\u6307\u5b9a\u6a21\u578b\u5e94\u4ee5 4 \u4f4d\u91cf\u5316\u52a0\u8f7d\uff08load_in_4bit=True<\/code>\uff09\uff0c\u5e76\u4f7f\u7528\u201cnf4\u201d\u91cf\u5316\u7c7b\u578b\uff0c\u8be5\u7c7b\u578b\u56e0\u5176\u5728\u51cf\u5c11\u5185\u5b58\u4f7f\u7528\u7684\u540c\u65f6\u4fdd\u6301\u6a21\u578b\u51c6\u786e\u6027\u800c\u95fb\u540d\u3002\u5b83\u8fd8\u542f\u7528\u4e86\u53cc\u91cd\u91cf\u5316\uff08bnb_4bit_use_double_quant=True<\/code>\uff09\u4ee5\u8fdb\u4e00\u6b65\u4f18\u5316\uff0c\u5e76\u5c06\u8ba1\u7b97\u6570\u636e\u7c7b\u578b\u8bbe\u7f6e\u4e3a torch.bfloat16<\/code> \u4ee5\u63d0\u9ad8\u6548\u7387\u3002<\/p>\n
2\u3001\u901a\u8fc7\u81ea\u5b9a\u4e49\u5305\u88c5\u5668\u6865\u63a5\u5dee\u8ddd<\/h2>\n
\u5b9a\u4e49\u4e86\u4e00\u4e2a\u81ea\u5b9a\u4e49\u7684 Llama2Wrapper<\/code> \u7c7b\uff0c\u4ee5\u786e\u4fdd Llama 2 \u6a21\u578b\u4e0e smolagents \u6846\u67b6\u4e4b\u95f4\u7684\u65e0\u7f1d\u4ea4\u4e92\u3002\u8be5\u5305\u88c5\u5668\u5904\u7406\u5404\u79cd\u8f93\u5165\u7c7b\u578b\uff0c\u786e\u4fdd\u4e0e LLM \u7684\u517c\u5bb9\u6027\uff0c\u5e76\u5c06\u751f\u6210\u7684\u8f93\u51fa\u683c\u5f0f\u5316\u4e3a\u7b26\u5408 smolagents \u7684\u671f\u671b\u3002\u5b83\u5145\u5f53\u6865\u6881\uff0c\u5c06 Llama 2 \u6a21\u578b\u7684\u8f93\u51fa\u8f6c\u6362\u4e3a smolagents \u6846\u67b6\u53ef\u4ee5\u7406\u89e3\u548c\u6709\u6548\u4f7f\u7528\u7684\u683c\u5f0f\u3002<\/p>\n
class Llama2Wrapper:\n    def __init__(self, generator, tokenizer):\n        self.generator = generator\n        self.tokenizer = tokenizer\n\n    def __call__(self, text, stop_sequences=None, **kwargs):\n        # ... (\u8f93\u5165\u5904\u7406\u3001\u6587\u672c\u751f\u6210\u548c\u8f93\u51fa\u683c\u5f0f\u5316\u7684\u4ee3\u7801) ...\n<\/code><\/pre>\n
3\u3001\u8bbe\u8ba1\u6709\u6548\u7684\u63d0\u793a<\/h2>\n
\u4ee3\u7801\u968f\u540e\u5b9a\u4e49\u4e86\u4e00\u4e2a\u95ee\u7b54\u4efb\u52a1\uff0c\u5e76\u5c55\u793a\u4e86\u63d0\u793a\u5de5\u7a0b\u7684\u5173\u952e\u4f5c\u7528\u3002\u6784\u5efa\u4e86\u4e00\u4e2a\u8be6\u7ec6\u7684\u63d0\u793a\uff0c\u4e3a Llama 2 \u6a21\u578b\u63d0\u4f9b\u4e86\u95ee\u9898\u3001\u76f8\u5173\u4e0a\u4e0b\u6587\u3001\u7b54\u6848\u9009\u9879\u4ee5\u53ca\u8f93\u51fa\u6b63\u786e\u7b54\u6848\u5bf9\u5e94\u5b57\u6bcd\u7684\u660e\u786e\u6307\u4ee4\u3002\u8fd9\u4e00\u6b65\u4e0d\u4ec5\u91cd\u8981\uff0c\u800c\u4e14\u662f\u6574\u4e2a\u8fc7\u7a0b\u4e2d\u7684\u5173\u952e\u3002<\/p>\n
prompt = f\"\"\"\nThe user asked: {question}\n\nEven though it's unlikely a leopard would run across Pont des Arts, let's make a hypothetical estimate.\nConsider the following:\n# ... (Relevant information and calculations) ...\n\"\"\"\n<\/code><\/pre>\n
4\u3001\u5904\u7406\u548c\u5206\u6790\u8f93\u51fa<\/h2>\n
\u751f\u6210\u54cd\u5e94\u540e\uff0c\u4ee3\u7801\u4f7f\u7528\u6b63\u5219\u8868\u8fbe\u5f0f\u8fc7\u6ee4\u8f93\u51fa\uff0c\u786e\u4fdd\u5176\u7b26\u5408\u9884\u671f\u683c\u5f0f\u3002\u6700\u7ec8\u8f93\u51fa\u662f\u95ee\u9898\u7684\u7b54\u6848\uff0c\u6839\u636e LLM \u7684\u54cd\u5e94\u4ece\u7b54\u6848\u9009\u9879\u4e2d\u63d0\u53d6\u3002<\/p>\n
final_answer = llm(prompt) \nfinal_answer_text = final_answer['generated_text'] \n# ... (\u6b63\u5219\u8868\u8fbe\u5f0f\u8fc7\u6ee4) ...\nactual_answer = answer_choices.get(final_answer_text)\n<\/code><\/pre>\n
5\u3001\u7406\u89e3 Smol Agents<\/h2>\n
smolagents \u7531 Hugging Face \u5f00\u53d1\uff0c\u662f\u4e00\u4e2a\u76f8\u5bf9\u8f83\u65b0\u7684\u6846\u67b6\uff0c\u65e8\u5728\u5b9e\u73b0\u7b80\u5355\u6027\u548c\u7075\u6d3b\u6027\u3002\u5b83\u5f3a\u8c03\u4ee3\u7801\u9a71\u52a8\u7684\u65b9\u6cd5\uff0c\u4ee3\u7406\u751f\u6210\u5e76\u6267\u884c\u4ee3\u7801\u4ee5\u5b9e\u73b0\u76ee\u6807\u3002smolagents \u652f\u6301\u5b89\u5168\u7684\u6267\u884c\u73af\u5883\uff0c\u5e76\u4fc3\u8fdb\u4e0e\u5404\u79cd LLM \u7684\u96c6\u6210\u3002<\/p>\n
6\u3001\u63a2\u7d22\u6f5c\u529b<\/h2>\n
\u8fd9\u4e2a POC \u5c55\u793a\u4e86\u5c06 LLM \u4e0e smolagents \u7ed3\u5408\u4ee5\u6784\u5efa\u4ea4\u4e92\u5f0f AI \u4ee3\u7406\u7684\u6f5c\u529b\uff0c\u8fd9\u4e9b\u4ee3\u7406\u80fd\u591f\u7406\u89e3\u81ea\u7136\u8bed\u8a00\u3001\u63a8\u7406\u4fe1\u606f\uff0c\u5e76\u53ef\u80fd\u901a\u8fc7\u4ee3\u7801\u6267\u884c\u4e0e\u73b0\u5b9e\u4e16\u754c\u4e92\u52a8\u3002\u8fd9\u79cd\u6f5c\u529b\u7684\u5f71\u54cd\u662f\u5de8\u5927\u7684\uff0c\u4ece\u521b\u5efa\u80fd\u591f\u7406\u89e3\u548c\u54cd\u5e94\u590d\u6742\u67e5\u8be2\u7684\u865a\u62df\u52a9\u624b\uff0c\u5230\u5f00\u53d1\u80fd\u591f\u6839\u636e\u81ea\u7136\u8bed\u8a00\u6307\u4ee4\u6267\u884c\u4efb\u52a1\u7684 AI \u7cfb\u7edf\u3002<\/p>\n
7\u3001\u8ba8\u8bba<\/h2>\n
\u8fd9\u4e2a\u793a\u4f8b\u5c55\u793a\u4e86\u4f7f\u7528 Llama 2 \u548c smolagents \u6784\u5efa\u57fa\u672c\u95ee\u7b54\u4ee3\u7406\u7684\u5173\u952e\u6b65\u9aa4\u3002\u5b83\u5f3a\u8c03\u4e86\u4ed4\u7ec6\u7684\u63d0\u793a\u5de5\u7a0b\u548c\u8f93\u51fa\u5904\u7406\u7684\u91cd\u8981\u6027\uff0c\u4ee5\u786e\u4fdd\u51c6\u786e\u548c\u53ef\u9760\u7684\u7ed3\u679c\u3002\u901a\u8fc7\u6269\u5c55\u8fd9\u79cd\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5f00\u53d1\u66f4\u590d\u6742\u7684\u4ee3\u7406\u6765\u5904\u7406\u5404\u79cd\u4efb\u52a1\uff0c\u4f8b\u5982\u4fe1\u606f\u68c0\u7d22\u3001\u4ee3\u7801\u751f\u6210\u548c\u4e0e\u5916\u90e8 API \u7684\u4ea4\u4e92\u3002<\/p>\n
\u5c06 LLM \u4e0e\u4ee3\u7801\u9a71\u52a8\u7684\u4ee3\u7406\u96c6\u6210\uff0c\u4e3a\u521b\u5efa\u66f4\u81ea\u4e3b\u548c\u5f3a\u5927\u7684 AI \u7cfb\u7edf\u5f00\u8f9f\u4e86\u4ee4\u4eba\u5174\u594b\u7684\u53ef\u80fd\u6027\u3002LLM \u53ef\u4ee5\u63d0\u4f9b\u81ea\u7136\u8bed\u8a00\u7406\u89e3\u548c\u63a8\u7406\u80fd\u529b\uff0c\u800c smolagents \u5219\u652f\u6301\u6267\u884c\u64cd\u4f5c\u548c\u4e0e\u73af\u5883\u4ea4\u4e92\u3002\u8fd9\u79cd\u534f\u540c\u4f5c\u7528\u53ef\u4ee5\u5bfc\u81f4\u5f00\u53d1\u51fa\u80fd\u591f\u6267\u884c\u590d\u6742\u4efb\u52a1\u5e76\u9002\u5e94\u52a8\u6001\u60c5\u51b5\u7684\u4ee3\u7406\u3002<\/p>\n
8\u3001\u7ed3\u675f\u8bed<\/h2>\n
\u672c\u6559\u7a0b\u4e3a\u63a2\u7d22 AI \u4ee3\u7406\u4e16\u754c\u548c\u5f3a\u5927\u8bed\u8a00\u6a21\u578b\u7684\u96c6\u6210\u63d0\u4f9b\u4e86\u57fa\u7840\u3002\u901a\u8fc7\u7ed3\u5408 Llama 2 \u548c smolagents \u7684\u4f18\u52bf\uff0c\u5f00\u53d1\u4eba\u5458\u53ef\u4ee5\u521b\u5efa\u590d\u6742\u7684 AI \u7cfb\u7edf\uff0c\u8fd9\u4e9b\u7cfb\u7edf\u80fd\u591f\u4ee5\u8d8a\u6765\u8d8a\u590d\u6742\u7684\u65b9\u5f0f\u7406\u89e3\u3001\u63a8\u7406\u548c\u4e0e\u73af\u5883\u4ea4\u4e92\u3002\u8fd9\u79cd\u65b9\u6cd5\u4e3a AI \u7684\u672a\u6765\u5e26\u6765\u4e86\u5de8\u5927\u7684\u5e0c\u671b\uff0c\u4f7f\u5f00\u53d1\u66f4\u667a\u80fd\u548c\u81ea\u4e3b\u7684\u4ee3\u7406\u6210\u4e3a\u53ef\u80fd\uff0c\u8fd9\u4e9b\u4ee3\u7406\u80fd\u591f\u89e3\u51b3\u73b0\u5b9e\u4e16\u754c\u7684\u95ee\u9898\u3002<\/p>\n
\n","protected":false},"excerpt":{"rendered":"
\u672c\u6559\u7a0b\u63a2\u8ba8\u4e86\u4e00\u4e2a\u5b9e\u7528\u7684\u793a\u4f8b\uff0c\u901a\u8fc7\u5c06\u5f3a\u5927\u7684 Llama 2 \u8bed\u8a00\u6a21\u578b\u4e0e smolagents \u6846\u67b6\u96c6\u6210\u6765\u6784\u5efa AI \u4ee3\u7406\u3002\u6211\u4eec\u5c06\u5206\u6790\u4e00\u4e2a\u4ee3\u7801\u7247\u6bb5\uff08\u53ef\u5728 \u4e0a\u627e\u5230\uff09\uff0c\u8be5\u7247\u6bb5\u4f5c\u4e3a\u95ee\u7b54\u4efb\u52a1\u7684\u6982\u5ff5\u9a8c\u8bc1\uff08POC\uff09\u3002\u8fd9\u4e2a\u7ec3\u4e60\u4e3a\u6784\u5efa\u66f4\u5f3a\u5927\u548c\u81ea\u4e3b\u7684 AI \u7cfb\u7edf\u63d0\u4f9b\u4e86\u5b9d\u8d35\u7684\u89c1\u89e3\u3002 1\u3001\u52a0\u8f7d\u548c\u4f18\u5316\u8bed\u8a00\u6a21\u578b \u7b2c\u4e00\u6b65\u6d89\u53ca\u4ece Hugging Face Transformers \u52a0\u8f7d Llama 2 7B \u804a\u5929\u6a21\u578b\u7684\u91cf\u5316\u7248\u672c\u3002\u8fd9\u91cc\u4f7f\u7528\u4e86 4 \u4f4d\u91cf\u5316\u3002 \u50cf Llama 2 \u8fd9\u6837\u7684\u5927\u578b\u8bed\u8a00\u6a21\u578b\u5177\u6709\u6570\u767e\u4e07\u6216\u6570\u5341\u4ebf\u4e2a\u53c2\u6570\uff0c\u9700\u8981\u5927\u91cf\u7684\u5185\u5b58\u548c\u5904\u7406\u80fd\u529b\u30024 \u4f4d\u91cf\u5316\u662f\u4e00\u79cd\u6280\u672f\uff0c\u53ef\u4ee5\u5728\u4e0d\u663e\u8457\u727a\u7272\u6027\u80fd\u7684\u60c5\u51b5\u4e0b\u51cf\u5c11\u8fd9\u4e9b\u6a21\u578b\u7684\u5185\u5b58\u5360\u7528\u3002 \u4e0e\u5c06\u6bcf\u4e2a\u53c2\u6570\u5b58\u50a8\u4e3a\u5168\u7cbe\u5ea6\u6d6e\u70b9\u6570\uff08\u901a\u5e38\u4e3a 32 \u4f4d\uff09\u4e0d\u540c\uff0c4 \u4f4d\u91cf\u5316\u5c06\u5b83\u4eec\u538b\u7f29\u4e3a\u4ec5 4 \u4f4d\u3002\u8fd9\u5c06\u6a21\u578b\u7684\u5927\u5c0f\u51cf\u5c11\u4e86 8 \u500d\uff0c\u4f7f\u5176\u66f4\u6613\u4e8e\u5728\u6d88\u8d39\u7ea7\u786c\u4ef6\u4e0a\u8fd0\u884c\u6216\u5728\u8d44\u6e90\u53d7\u9650\u7684\u73af\u5883\u4e2d\u90e8\u7f72\u3002 \u4ee3\u7801\u4f7f\u7528 Hugging Face Transformers \u7684 BitsAndBytesConfig \u6765\u5b9e\u73b0\u8fd9\u79cd\u91cf\u5316\uff1a bnb_config = BitsAndBytesConfig( load_in_4bit=True, bnb_4bit_quant_type=”nf4″, bnb_4bit_use_double_quant=True, bnb_4bit_compute_dtype=torch.bfloat16 ) model = AutoModelForCausalLM.from_pretrained(model_id, device_map=”auto”, […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[13],"tags":[],"class_list":["post-53748","post","type-post","status-publish","format-standard","hentry","category-ai"],"_links":{"self":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts\/53748","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/comments?post=53748"}],"version-history":[{"count":0,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts\/53748\/revisions"}],"wp:attachment":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/media?parent=53748"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/categories?post=53748"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/tags?post=53748"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}