bofenghuang commited on
Commit
6d9f2fa
1 Parent(s): 1a9f336
README.md CHANGED
@@ -36,7 +36,7 @@ from transformers import LlamaForCausalLM, LlamaTokenizer
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  base_model_name_or_path = "name/or/path/to/hf/llama/13b/model"
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  lora_model_name_or_path = "bofenghuang/vigogne-instruct-13b"
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- tokenizer = LlamaTokenizer.from_pretrained(base_model_name_or_path, padding_side="right", use_fast=False))
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  model = LlamaForCausalLM.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 = "name/or/path/to/hf/llama/13b/model"
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  lora_model_name_or_path = "bofenghuang/vigogne-instruct-13b"
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+ tokenizer = LlamaTokenizer.from_pretrained(base_model_name_or_path, padding_side="right", use_fast=False)
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  model = LlamaForCausalLM.from_pretrained(
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  base_model_name_or_path,
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  load_in_8bit=True,
adapter_config.json CHANGED
@@ -1,18 +1,22 @@
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  {
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- "base_model_name_or_path": "hf_models/llama-13b-hf",
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  "bias": "none",
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- "enable_lora": null,
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  "fan_in_fan_out": false,
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  "inference_mode": true,
 
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  "lora_alpha": 16,
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  "lora_dropout": 0.05,
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- "merge_weights": false,
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  "modules_to_save": null,
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  "peft_type": "LORA",
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  "r": 8,
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  "target_modules": [
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  "q_proj",
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- "v_proj"
 
 
 
 
 
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  ],
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  "task_type": "CAUSAL_LM"
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  }
 
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  {
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+ "base_model_name_or_path": "huggyllama/llama-13b",
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  "bias": "none",
 
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  "fan_in_fan_out": false,
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  "inference_mode": true,
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+ "init_lora_weights": true,
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  "lora_alpha": 16,
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  "lora_dropout": 0.05,
 
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  "modules_to_save": null,
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  "peft_type": "LORA",
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  "r": 8,
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  "target_modules": [
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  "q_proj",
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+ "v_proj",
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+ "k_proj",
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+ "o_proj",
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+ "gate_proj",
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+ "down_proj",
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+ "up_proj"
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  ],
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  "task_type": "CAUSAL_LM"
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  }
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