import torch
from transformers import AutoConfig, AutoModel, AutoProcessor
MODEL_NAME = "Qwen/Qwen3-VL-Embedding-2B"
path_tiny = "./qwen3_vl_embedding_tiny/"
config = AutoConfig.from_pretrained(MODEL_NAME)
config.text_config.intermediate_size = 10
config.text_config.hidden_size = 4
config.text_config.max_position_embeddings = 10
config.text_config.num_hidden_layers = 2
config.text_config.head_dim = 32
config.text_config.num_attention_heads = 2
config.text_config.num_key_value_heads = 2
config.vision_config.hidden_size = 64
config.vision_config.intermediate_size = 64
config.vision_config.num_heads = 4
hf_model = AutoModel.from_config(config)
hf_model = hf_model.to(torch.float32)
hf_model.save_pretrained(path_tiny)
processor = AutoProcessor.from_pretrained(MODEL_NAME)
processor.save_pretrained(path_tiny)
optimum-intel-internal-testing/tiny-random-qwen3-vl-embedding
Submit in one command
Run it next to your model folder. It makes the torrent, checks your files against Hugging Face, and submits it. You just start seeding and paste your key from your account. It only reads your files and never changes them. Read the script first if you like.
curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo optimum-intel-internal-testing/tiny-random-qwen3-vl-embedding ./model-folder