python src/transformers/models/llama/convert_llama_weights_to_hf.py \ --input_dir /path/to/downloaded/llama/weights --model_size 7B --output_dir /output/path
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. - transformers/src/transformers/models/llama/convert_llama_weights_to_hf.py at main · huggingface/transformers
pip install git+https://github.com/huggingface/transformerscd transformerspython convert_llama_weights_to_hf.py \ --input_dir /path/to/downloaded/llama/weights --model_size 7B --output_dir models_hf/7B 现在,我们得到了一个Hugging Face模型,可以利用Hugging Face库进行微调了! 3. 运行微调笔记本: ...
logger.info("Usage: python convert_hf_to_gguf_update.py <huggingface_token>") sys.exit(1) else: logger.info("Usage: python convert_hf_to_gguf_update.py <huggingface_token>") sys.exit(1) # TODO: add models here, base models preferred models = [ {"name": "llama-spm",...
Vocab: TypeAlias = "BpeVocab | SentencePieceVocab | HfVocab" # # data loading # TODO: reuse (probably move to gguf.py?) # def permute(weights: NDArray, n_head: int, n_head_kv: int) -> NDArray: # print( "permute debug " + str(weights.shape[0]) + " x " + str(weig...
Describe the bug In order to convert llama model python convert_llama_weights_to_hf.py --input_dir models/llama-7b --model_size 7B --output_dir models/llama-7b-out which results in NameError: name 'false' is not defined. Did you mean: 'F...
python vla-scripts/extern/convert_openvla_weights_to_hf.py \ --openvla_model_path_or_id <PATH TO PRISMATIC TRAINING RUN DIR> \ --output_hf_model_local_path <OUTPUT DIR FOR CONVERTED CHECKPOINT> """ import json import os import shutil from dataclasses import dataclass from pathlib import...
help="directory containing Hugging Face PEFT LoRA config (adapter_model.json) and weights (adapter_model.safetensors or adapter_model.bin)", ) return parser.parse_args() def load_hparams_from_hf(hf_model_id: str) -> dict[str, Any]: # normally, adapter does not come with base ...
'that returns a spec to customize transformer layer, depending on the use case.') parser.add_argument('--model-type-hf', type=str, default="llama2", choices=['baichuan', 'baichuan2', 'llama2', 'mixtral', 'chatglm3', 'gemma', 'gemma2', 'bloom', 'qwen', 'internlm2', '...
/home/transformers/src/transformers/models/llama/convert_llama_weights_to_hf.py:157: FutureWarning: You are using torch.load with weights_only=False (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute ar...