GX-XinGao/Llama-3.1-8B-GRA-Alpaca

Full fine-tune vs meta-llama/Llama-3.1-8B. Fine-tune: 93% of the weights changed, across 32 of 32 layers.

Tensors changed: Embeddings 0/1, Norms 13/65, MLP 96/96, Attention 128/128, lm_head 1/1

2 derivatives checked

• mradermacher/Llama-3.1-8B-GRA-Alpaca-i1-GGUF: Quantization
• mradermacher/Llama-3.1-8B-GRA-Alpaca-GGUF: Same weights, converted

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