Update llms.py
Browse files
llms.py
CHANGED
@@ -1,70 +1,59 @@
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from dotenv import load_dotenv
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import logging
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import torch
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from transformers import (
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AutoModelForCausalLM,
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AutoTokenizer,
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from
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model
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model=model,
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tokenizer=tokenizer,
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max_new_tokens=50,
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return_full_text=False,
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num_return_sequences=1,
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eos_token_id=tokenizer.eos_token_id,
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temperature=0.0001,
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do_sample=True,
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)
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llm = HuggingFacePipeline(pipeline=pipe)
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from dotenv import load_dotenv
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import logging
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import torch
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from transformers import (
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AutoModelForCausalLM,
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AutoTokenizer,
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pipeline,
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)
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from langchain_huggingface import HuggingFacePipeline
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from langchain.globals import set_debug
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from langchain.globals import set_verbose
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from config import HF_MODEL_ID
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from config import LLM_VERBOSE
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set_verbose(LLM_VERBOSE)
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set_debug(LLM_VERBOSE)
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logger = logging.getLogger(__name__)
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load_dotenv()
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cuda_check = torch.cuda.is_available()
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logger.info(f"torch.cuda.is_available : {cuda_check}")
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print(f"> torch.cuda.is_available : {cuda_check}")
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# Load Llama3 model and tokenizer
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model_id = HF_MODEL_ID
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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# BitsAndBytesConfig int-4 config
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# device_map = {"": 0}
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device_map = "auto"
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compute_dtype = getattr(torch, "float16")
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model = AutoModelForCausalLM.from_pretrained(
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model_id,
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device_map=device_map,
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# attn_implementation="flash_attention_2",
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# quantization_config=bnb_config,
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)
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model.generation_config.pad_token_id = tokenizer.eos_token_id
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pipe = pipeline(
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"text-generation",
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model=model,
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tokenizer=tokenizer,
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max_new_tokens=50,
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return_full_text=False,
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num_return_sequences=1,
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eos_token_id=tokenizer.eos_token_id,
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temperature=0.0001,
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do_sample=True,
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)
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llm = HuggingFacePipeline(pipeline=pipe)
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