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| #%% | |
| from langchain_core.prompts import PromptTemplate | |
| # ctransformers is no longer used | |
| """ from langchain_community.llms import CTransformers | |
| # Initialize the language model | |
| llm = CTransformers(model='Model/llama-2-7b-chat.ggmlv3.q2_K.bin', # 2 bit quantized model | |
| model_type='llama', | |
| config={'max_new_tokens': 256, # max tokens in reply | |
| 'temperature': 0.01, } # randomness of the reply | |
| ) | |
| """ | |
| # Initialize the language model with LlamaCpp | |
| #llm = LlamaCpp(model_path="Model/llama-2-7b-chat.Q4_K_M.gguf", # token streaming to terminal | |
| #device="cuda",n_gpu_layers=-1,verbose = True, max_tokens = 4096, #offloads ALL layers to GPU, uses around 6 GB of Vram | |
| #config={ # max tokens in reply | |
| # 'temperature': 0.75} # randomness of the reply | |
| #) | |
| template = """ | |
| You are an ai that answers medical related queries in a helpful,clear and concise manner. | |
| Avoid giving misinformation, and provide details about your results. Dont answer any questions outside medical domain. | |
| Question: {query} | |
| Answer: | |
| """ | |
| prompt_template = PromptTemplate( | |
| input_variables=["query"], | |
| template=template | |
| ) | |
| print( | |
| prompt_template.format( | |
| query="how can I change a tyre on my car" | |
| ) | |
| ) | |
| # %% | |