OpenLLM-Ro/RoLlama3-8b-Instruct
Full fine-tune vs meta-llama/Meta-Llama-3-8B-Instruct. Fine-tune: 93% of the weights changed, across 32 of 32 layers.
Tensors changed: Embeddings 0/1, Norms 64/65, MLP 96/96, Attention 128/128, lm_head 1/1
3 derivatives checked
- legraphista/RoLlama3-8b-Instruct-IMat-GGUF: Full fine-tune
- mradermacher/RoLlama3-8b-Instruct-GGUF: Full fine-tune
- tinyopsec/RoLlama3-8b-Instruct-GGUF: Same weights, converted
1 other repos hold byte-for-byte identical weight files.