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BananaMind SLM Digest – 2026-11-10
🚀 BananaMind released BM3-99M-Training (https://huggingface.co/BananaMind/BM3-99M-Training). This 99M‑parameter model is now publicly available for inference and fine‑tuning, offering a balanced size‑for‑performance option for developers needing a versatile SLM.
ďż˝ dataset SupraLabs/SupraTTS-exp-corpus updated (https://huggingface.co/datasets/SupraLabs/SupraTTS-exp-corpus).
🔄 BananaMind/BM3-Pro-Training updated (https://huggingface.co/BananaMind/BM3-Pro-Training).
đź’¬ AxiomicLabs launched Open_SLM_Leaderboard discussion space (https://huggingface.co/spaces/AxiomicLabs/Open_SLM_Leaderboard).
đź“ť Banaxi-Tech blog: Pay for Hugging Face Hub with your Google Cloud Account (https://huggingface.co/blog/hub-gcp-marketplace).
đź“ť Banaxi-Tech blog: Decision Models in Hugging Face (https://huggingface.co/blog/decision).
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đź•’ Posted 10 Nov 2026, 19:46 CET. Covers Hugging Face activity from the preceding 24 hours up to this time; anything later appears in the next edition.Organizations
