mradermacher/YAM-AI-4B-GGUF

Same weights, converted (fewer layers) vs adelwolf5/YAM-AI-4B. mradermacher/YAM-AI-4B-GGUF matches part of adelwolf5/YAM-AI-4B (623 of its 2076 tensors; the rest of adelwolf5/YAM-AI-4B has no counterpart). On the shared part: Same weights stored in another dtype (BF16 → F16/BF16), plus 43 new tensors.

Tensors changed: Embeddings 0/2, Norms 0/278, MLP 0/126, other 0/85, Attention 0/132

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