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CNWPlayer

CNWPlayer
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published a model about 1 hour ago
CNWPlayer/VegaLM1-42M-Base
reacted to Banaxi-Tech's post with 🔥 about 1 hour ago
We're announcing our BananaMind 2.1 model series! The models will include: - BananaMind 2.1 Nano: 10M parameters with 60B tokens. - BananaMind 2.1 Lite: 25M parameters with 40B tokens. - BananaMind 2.1 Flash: 50M parameters with 55B tokens. - BananaMind 2.1 Pro: 135M-145M parameters (still deciding) with 100B tokens. These model will use a multi tower architecture (like https://huggingface.co/BananaMind/BananaMind-2.1-Unified) with some more architectural changes. BananaMind 2.1 Pro will probrably use 2 no output towers, instead of one! We're currently training some experimental models based on this architecture to see its scaling! Follow us: https://huggingface.co/BananaMind @Banaxi-Tech @vovaRL @DedeProGames https://huggingface.co/bananamind-research-community
repliedto Banaxi-Tech's post about 1 hour ago
We're announcing our BananaMind 2.1 model series! The models will include: - BananaMind 2.1 Nano: 10M parameters with 60B tokens. - BananaMind 2.1 Lite: 25M parameters with 40B tokens. - BananaMind 2.1 Flash: 50M parameters with 55B tokens. - BananaMind 2.1 Pro: 135M-145M parameters (still deciding) with 100B tokens. These model will use a multi tower architecture (like https://huggingface.co/BananaMind/BananaMind-2.1-Unified) with some more architectural changes. BananaMind 2.1 Pro will probrably use 2 no output towers, instead of one! We're currently training some experimental models based on this architecture to see its scaling! Follow us: https://huggingface.co/BananaMind @Banaxi-Tech @vovaRL @DedeProGames https://huggingface.co/bananamind-research-community
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