NousResearch/Hermes-2-Theta-Llama-3-8B
Full fine-tune vs NousResearch/Hermes-2-Pro-Llama-3-8B. Fine-tune: 100% of the weights changed, across 32 of 32 layers.
Tensors changed: Norms 65/65, MLP 96/96, Attention 128/128
6 derivatives checked
- legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF: Same weights, converted
- QuantFactory/Hermes-2-Theta-Llama-3-8B-GGUF: Quantization
- saucam/Proteus-8B: Full fine-tune
- mergekit-community/TopEvolution16: Full fine-tune
- wwe180/Llama3-15B-lingyang-v0.1: Full fine-tune (fewer layers)
- mergekit-community/TopStarClaudioArena: Full fine-tune
42 other repos hold byte-for-byte identical weight files.