llama3.2
Browse files
rag.py
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@@ -3,7 +3,8 @@ import dspy
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import pandas as pd
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#lm = dspy.LM('ollama_chat/deepseek-r1', api_base='http://localhost:11434', api_key='')
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lm = dspy.LM('huggingface/Qwen/Qwen2.5-Coder-32B-Instruct')
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dspy.configure(lm=lm)
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df = pd.read_csv("product2.csv")
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import pandas as pd
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#lm = dspy.LM('ollama_chat/deepseek-r1', api_base='http://localhost:11434', api_key='')
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#lm = dspy.LM('huggingface/Qwen/Qwen2.5-Coder-32B-Instruct')
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lm = dspy.LM('huggingface/meta-llama/Llama-3.2-1B')
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dspy.configure(lm=lm)
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df = pd.read_csv("product2.csv")
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tool.py
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@@ -5,7 +5,8 @@ from dspy.predict.react import Tool
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from tavily import TavilyClient
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#lm = dspy.LM('ollama_chat/deepseek-r1', api_base='http://localhost:11434', api_key='')
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lm = dspy.LM('huggingface/Qwen/Qwen2.5-Coder-32B-Instruct')
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dspy.configure(lm=lm)
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search_client = TavilyClient(api_key=os.environ["T_TOKEN"])
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from tavily import TavilyClient
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#lm = dspy.LM('ollama_chat/deepseek-r1', api_base='http://localhost:11434', api_key='')
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#lm = dspy.LM('huggingface/Qwen/Qwen2.5-Coder-32B-Instruct')
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lm = dspy.LM('huggingface/meta-llama/Llama-3.2-1B')
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dspy.configure(lm=lm)
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search_client = TavilyClient(api_key=os.environ["T_TOKEN"])
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