mlabonne/Hermes-3-Llama-3.1-8B-lorablated
Full fine-tune vs NousResearch/Hermes-3-Llama-3.1-8B. Fine-tune: 100% of the weights changed, across 32 of 32 layers.
Tensors changed: Embeddings 1/1, Norms 65/65, MLP 96/96, Attention 128/128, lm_head 1/1
10 derivatives checked
- bartowski/Hermes-3-Llama-3.1-8B-lorablated-GGUF: Quantization
- mlabonne/Hermes-3-Llama-3.1-8B-lorablated-GGUF: Same weights, converted
- mradermacher/Hermes-3-Llama-3.1-8B-lorablated-i1-GGUF: Quantization
- mradermacher/Hermes-3-Llama-3.1-8B-lorablated-GGUF: Same weights, converted
- featherless-ai-quants/mlabonne-Hermes-3-Llama-3.1-8B-lorablated-GGUF: Quantization
- tensorblock/Hermes-3-Llama-3.1-8B-lorablated-GGUF: Quantization
- Solshine/Hermes-3-Llama-3.1-8B-lorablated-Q4_K_M-GGUF: Quantization
- wilsondesouza/Aurora-1.0-Hermes-3.1-8B-PTBR: LoRA-style
- flammenai/Mahou-1.3-llama3.1-8B: LoRA-style
- mergekit-community/MethedUp: Full fine-tune
1 other repos hold byte-for-byte identical weight files.