OpenLLM-Ro/RoLlama2-7b-Base
Full fine-tune vs meta-llama/Llama-2-7b-hf. Fine-tune: 100% of the weights changed, across 32 of 32 layers.
Tensors changed: Embeddings 1/1, Norms 38/65, MLP 96/96, Attention 128/128, lm_head 1/1
7 derivatives checked
- legraphista/RoLlama2-7b-Base-IMat-GGUF: Same weights, converted
- mradermacher/RoLlama2-7b-Base-GGUF: Quantization
- OpenLLM-Ro/RoLlama2-7b-Instruct: Full fine-tune
- OpenLLM-Ro/RoLlama2-7b-Chat: Full fine-tune
- OpenLLM-Ro/RoLlama2-7b-Instruct-2024-05-14: Full fine-tune
- OpenLLM-Ro/RoLlama2-7b-Instruct-2025-04-23: Full fine-tune
- OpenLLM-Ro/RoLlama2-7b-Instruct-2024-10-09: Full fine-tune