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
一条命令提交
在你的模型文件夹旁边运行它。它会制作种子、将文件与 Hugging Face 比对，然后提交。你只需开始做种，并粘贴你账户中的密钥。它只读取你的文件，绝不修改。如果愿意，可以先阅读脚本。
curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo optimum-intel-internal-testing/tiny-random-qwen3-vl-embedding ./model-folder