shadowml/BeagSake-7B

Full fine-tune vs shadowml/BeagleSempra-7B. Fine-tune: 97% of the weights changed, across 32 of 32 layers.

Tensors changed: Embeddings 1/1, Norms 14/65, MLP 93/96, Attention 124/128, lm_head 1/1

2 derivatives checked

• mradermacher/BeagSake-7B-i1-GGUF: Quantization
• mradermacher/BeagSake-7B-GGUF: Same weights, converted

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