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reacted to Banaxi-Tech's post with 👍 about 4 hours ago
We're excited to release BananaMind 2 MoE, a new addition to the BananaMind 2 series! BananaMind 2 MoE is a sparse mixture-of-experts model with 25M total parameters but only 2M active per token, Like the rest of the series, it uses our custom digit-aware BPE tokenizer that keeps every digit isolated, fixing the core arithmetic weakness of our earlier models. It's trained on 30B tokens from FineWeb-Edu, DCLM, Cosmopedia-v2 and FineMath-4+, and outperforms Pythia-31M on average despite activating just 2M parameters. Check it out at https://huggingface.co/BananaMind/BananaMind-2-MoE BananaMind 2 Nano is Coming Next. Already training. Apache 2.0.
reacted to Smooke's post with 👍 about 4 hours ago
Say it with me, AI is moving beyond the phone, AI is moving beyond the phone, AI is moving beyond the phone. The weight Apple is putting on this says it all. They're fighting for the next hardware market before it hits the market. Harder to say what it means for OpenAI's consumer trust. Re https://huggingface.co/apple vs. https://huggingface.co/openai: https://hackernoon.com/apple-v-openai-trade-secrets-lawsuit-the-42-most-explosive-allegations-and-the-internets-reactions
reacted to satgeze's post with 👍 about 4 hours ago
Two abliterated Ornith-1.0 builds, now public. Refusal removed with a single rank-1 weight edit on the MLP down-projections, direction extracted from matched harmful/harmless pairs. Measured, not claimed: 35B at **0% refusal, KL 0.036, no capability loss** (GSM8K 96.0 vs 94.0); 9B at **2% residual, KL 0.070**, an honest 2.5-point tradeoff. Verified on a real-world gate (no language drift, output integrity, real engagement), not just a refusal count. GGUF, Q8_0/Q4_K_M. https://huggingface.co/satgeze/Ornith-1.0-35B-abliterated-SatGeZe https://huggingface.co/satgeze/Ornith-1.0-9B-abliterated-SatGeZe
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