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Dream-VLA-7B
Dream-VLA7BApache 2.0
Description
Dream-VLA is a 7B-parameter VLA built on a diffusion language model backbone. Unlike autoregressive VLAs, it uses a diffusion LM (Dream-7B) with Qwen2ViT vision encoder, enabling parallel token generation for action prediction.
Hardware Requirements
| Min GPU | A100 40GB |
| VRAM | ~30 GB (BF16) |
| Framework | PyTorch + Transformers |
| License | Apache 2.0 |