# Random initialization

This is a tiny model for debugging, randomly initialized based on the adjusted configuration, specifically designed for rapid process verification.

This is a small debugging model randomly initialized based on the configuration of Qwen2-VL-7B-Instruct, used for vision-language tasks.

This is a small CLIP model for debugging purposes, based on the ViT architecture with randomly initialized weights.

This is a randomly initialized small model based on the DeepSeek-LLM-67B-Chat architecture, using float16 precision, primarily for text generation tasks.

This is a small randomly initialized model based on the BERT architecture, processed using sharding technology.