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Update README.md
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README.md
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- 'transformers '
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- peft
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- qlora
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---
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- 'transformers '
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- peft
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- qlora
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---
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```
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import torch
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from transformers import AutoTokenizer, AutoModelForCausalLM, BitsAndBytesConfig
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base_model_id = "mistralai/Mistral-7B-v0.1"
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bnb_config = BitsAndBytesConfig(
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load_in_4bit=True,
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bnb_4bit_use_double_quant=True,
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bnb_4bit_quant_type="nf4",
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bnb_4bit_compute_dtype=torch.bfloat16
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)
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base_model = AutoModelForCausalLM.from_pretrained(
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base_model_id, # Mistral, same as before
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quantization_config=bnb_config, # Same quantization config as before
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device_map="auto",
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trust_remote_code=True,
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use_auth_token=True
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)
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eval_tokenizer = AutoTokenizer.from_pretrained(
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base_model_id,
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add_bos_token=True,
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trust_remote_code=True,
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)
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```
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Now load the QLoRA adapter from the appropriate checkpoint directory
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```
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