xLSTM please!

xLSTM is the 3rd of a kind (besides Transformers and Mamba) and its performace is touted to be superior by its creators at JKU (university in Linz on Danube), who are near and dear to my heart. Sepp Hochreiter's LSTM (kind of better RNN and precursor) is quoted by all AI gods and used by biggies like DeepMind. xLSTM has totally been flying under the radar so far (even compared to Mamaba). I released Python code today for inference (streaming) at [AI-bits/xlstm](https://github.com/ai-bits/xlstm), CUDA bug pending. Model size is 7b, but at FP32 it's 30GB. (Quantization to at least FP16 wouldn't hurt - to run on 1 consumer Nvidia GPU, but may be complicated due to architecture,) Inference basically is `pip install xlstm` (or `-e .`), Torch 2.5.1+cu124 and custom Transformers. (not yet merged) Would love to see some eposure to this Snowwhite. Thanks in advance G.