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xLSTM 7B: A Recurrent LLM for Fast and Efficient Inference
The xLSTM 7B model offers fast, efficient inference for LLMs, achieving competitive performance while significantly improving speed and efficiency compared to existing models like Llama and Mamba.
https://arxiv.org/abs//2503.13427
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
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By Igor Melnyk
5
33 ratings
The xLSTM 7B model offers fast, efficient inference for LLMs, achieving competitive performance while significantly improving speed and efficiency compared to existing models like Llama and Mamba.
https://arxiv.org/abs//2503.13427
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
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