bofenghuang commited on
Commit
12db0f0
1 Parent(s): b0538f3
README.md CHANGED
@@ -36,7 +36,7 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
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  base_model_name_or_path = "bigscience/bloom-7b1"
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  lora_model_name_or_path = "bofenghuang/vigogne-instruct-bloom-7b1"
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- tokenizer = AutoTokenizer.from_pretrained(base_model_name_or_path, padding_side="right", use_fast=False))
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  model = AutoModelForCausalLM.from_pretrained(
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  base_model_name_or_path,
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  load_in_8bit=True,
 
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  base_model_name_or_path = "bigscience/bloom-7b1"
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  lora_model_name_or_path = "bofenghuang/vigogne-instruct-bloom-7b1"
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+ tokenizer = AutoTokenizer.from_pretrained(base_model_name_or_path, padding_side="right", use_fast=False)
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  model = AutoModelForCausalLM.from_pretrained(
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  base_model_name_or_path,
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  load_in_8bit=True,
adapter_config.json CHANGED
@@ -10,7 +10,10 @@
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  "peft_type": "LORA",
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  "r": 16,
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  "target_modules": [
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- "query_key_value"
 
 
 
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  ],
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  "task_type": "CAUSAL_LM"
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  }
 
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  "peft_type": "LORA",
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  "r": 16,
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  "target_modules": [
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+ "query_key_value",
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+ "dense",
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+ "dense_h_to_4h",
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+ "dense_4h_to_h"
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  ],
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  "task_type": "CAUSAL_LM"
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  }
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