adapt transformers==4.46
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@ -47,3 +47,4 @@ peft_config:
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lora_alpha: 32
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lora_dropout: 0.1
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target_modules: ["query_key_value"]
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#target_modules: ["q_proj", "k_proj", "v_proj"] if model is glm-4-9b-chat-hf
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@ -399,7 +399,7 @@ def load_tokenizer_and_model(
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model = AutoModelForCausalLM.from_pretrained(
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model_dir,
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trust_remote_code=True,
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empty_init=False,
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empty_init=False, #if transformers>=4.46 and load glm-4-9b-chat-hf, delete this
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use_cache=False,
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torch_dtype=torch.bfloat16 # Must use BFloat 16
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)
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@ -409,7 +409,7 @@ def load_tokenizer_and_model(
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model = AutoModelForCausalLM.from_pretrained(
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model_dir,
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trust_remote_code=True,
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empty_init=False,
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empty_init=False, #if transformers>=4.46 and load glm-4-9b-chat-hf, delete this
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use_cache=False,
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torch_dtype=torch.bfloat16
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)
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