“Ginger is the new star in tiny models – finally, a video codec that fits in 5MB and beats libx265 at CRF 18.” – AI Compression Weekly
The ginger-haired, "tiny" aesthetic is paired with a charismatic and relatable personality that resonates with viewers, moving beyond superficial appeal.
Instead of a full model, use a "tiny" LoRA model for ginger hair, which can be applied to a larger, high-quality base model. new star tiny model ginger videorar better
"New Star's tiny model 'Ginger' – improved video version (RAR archive included)"
Maximum lossless compression using professional archival tools Password-protected without sharing the key Clear instructions and open, secure cloud links “Ginger is the new star in tiny models
| Feature | Description | |---------|-------------| | Architecture | Transformer-based with spatiotemporal attention, pruned via gradual magnitude pruning. | | Input handling | Accepts RAR-compressed video segments (H.264 inside RAR). | | VideoRAR module | Extracts motion vectors and DC coefficients directly from compressed RAR blocks. | | Size | 78M parameters → 42 MB (FP16) | | Inference speed | 2.3× faster than MobileViT on edge GPU (Jetson Orin) for action recognition. |
Imagine a research lab announces a (2 million parameters) named “Ginger” that performs end-to-end video compression 30% better than H.265 and rivals H.266 (VVC), but runs on a Raspberry Pi. The output format is called .videorar . | | Input handling | Accepts RAR-compressed video
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