fhai50032/BeagleLake-7B

Full fine-tune vs fhai50032/RolePlayLake-7B. Fine-tune: 100% of the weights changed, across 32 of 32 layers.

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

3 derivatives checked

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

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