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CarperAI
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stable-vicuna-13b-delta

Text Generation
Transformers
PyTorch
English
llama
causal-lm
text-generation-inference
Inference Endpoints
Model card Files Community
10
jon-tow commited on
Commit
045e4f8
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1 Parent(s): 90c0bd3

refactor(readme): transfer naming

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Files changed (8) hide show
  1. .gitattributes +0 -34
  2. README.md +0 -54
  3. config.json +0 -23
  4. generation_config.json +0 -7
  5. pytorch_model-00001-of-00003.bin +0 -3
  6. pytorch_model-00002-of-00003.bin +0 -3
  7. pytorch_model-00003-of-00003.bin +0 -3
  8. pytorch_model.bin.index.json +0 -410
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README.md DELETED
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- Apply Delta weights
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-
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- ```python
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-
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- """
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- Usage:
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- python3 apply_delta.py --base /path/to/model_weights/llama-13b --target stable-vicuna-13b --delta pvduy/stable-vicuna-13b-delta
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- """
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- import argparse
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-
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- import torch
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- from tqdm import tqdm
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- from transformers import AutoTokenizer, AutoModelForCausalLM
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-
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-
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- def apply_delta(base_model_path, target_model_path, delta_path):
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- print("Loading base model")
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- base = AutoModelForCausalLM.from_pretrained(
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- base_model_path, torch_dtype=torch.float16, low_cpu_mem_usage=True)
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-
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- print("Loading delta")
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- delta = AutoModelForCausalLM.from_pretrained(delta_path, torch_dtype=torch.float16, low_cpu_mem_usage=True)
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- delta_tokenizer = AutoTokenizer.from_pretrained(delta_path)
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-
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- DEFAULT_PAD_TOKEN = "[PAD]"
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- base_tokenizer = AutoTokenizer.from_pretrained(base_model_path, use_fast=False)
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- num_new_tokens = base_tokenizer.add_special_tokens(dict(pad_token=DEFAULT_PAD_TOKEN))
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-
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- base.resize_token_embeddings(len(base_tokenizer))
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- input_embeddings = base.get_input_embeddings().weight.data
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- output_embeddings = base.get_output_embeddings().weight.data
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- input_embeddings[-num_new_tokens:] = 0
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- output_embeddings[-num_new_tokens:] = 0
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-
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- print("Applying delta")
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- for name, param in tqdm(base.state_dict().items(), desc="Applying delta"):
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- assert name in delta.state_dict()
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- param.data += delta.state_dict()[name]
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-
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- print("Saving target model")
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- base.save_pretrained(target_model_path)
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- delta_tokenizer.save_pretrained(target_model_path)
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-
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-
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- if __name__ == "__main__":
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- parser = argparse.ArgumentParser()
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- parser.add_argument("--base-model-path", type=str, required=True)
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- parser.add_argument("--target-model-path", type=str, required=True)
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- parser.add_argument("--delta-path", type=str, required=True)
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-
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- args = parser.parse_args()
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-
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- apply_delta(args.base_model_path, args.target_model_path, args.delta_path)
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
config.json DELETED
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- {
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- "_name_or_path": "CarperAI/vicuna-13b-fine-tuned-rlhf",
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- "architectures": [
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- "LlamaForCausalLM"
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- ],
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