This model is randomly initialized, using the config from facebook/opt-30b but with smaller size. Note the model is in float16.
Codes:
import torch
import transformers
import os
from optimum.intel.openvino import OVModelForCausalLM
save_path = '/tmp/yujiepan/opt-tiny-random'
repo_id = 'yujiepan/opt-tiny-random'
config = transformers.AutoConfig.from_pretrained('facebook/opt-30b')
config.ffn_dim = 32
config.hidden_size = 8
config.num_attention_heads = 2
config.num_hidden_layers = 2
config.word_embed_proj_dim = 8
model = transformers.AutoModelForCausalLM.from_config(config, torch_dtype=torch.float16)
model = model.half()
model.save_pretrained(save_path)
tokenizer = transformers.AutoTokenizer.from_pretrained('facebook/opt-30b')
tokenizer.save_pretrained(save_path)
ovmodel = OVModelForCausalLM.from_pretrained(save_path, export=True)
ovmodel = ovmodel.half()
ovmodel.save_pretrained(save_path)
os.system(f'ls -alh {save_path}')
from huggingface_hub import create_repo, upload_folder
create_repo(repo_id, exist_ok=True)
upload_folder(repo_id=repo_id, folder_path=save_path)