LTX-2.3 PolarQuant Q5: 88% size reduction, near lossless quality (Cosine Similarity: 0.9986).
Cosine similarity of 0.9986 means you barely notice the compression on this 22B beast.
Deep Dive
A Reddit post shares links to a quantization method (PolarQuant Q5) on GitHub and a Hugging Face model (LTX-2.3-22B-HLWQ-Q5) by user caiovicentino1, asking "When ComfyUI?" for integration.
Key Points
- PolarQuant Q5 reduces LTX-2.3 22B model size by 88% (from ~44GB to ~5GB)
- Cosine similarity of 0.9986 with original weights indicates near lossless quality
- Model available on Hugging Face; code on GitHub; ComfyUI support pending
Why It Matters
Makes 22B parameter models accessible on consumer GPUs, democratizing high-quality local AI inference.