--- base_model: - NousResearch/Hermes-3-Llama-3.1-8B - qingy2024/NaturalLM3-8B-Instruct-v0.1 library_name: transformers tags: - mergekit - merge --- [![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory) # QuantFactory/Albatross2.1-8B-Instruct-GGUF This is quantized version of [qingy2024/Albatross2.1-8B-Instruct](https://huggingface.co/qingy2024/Albatross2.1-8B-Instruct) created using llama.cpp # Original Model Card # merge This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). ## Merge Details ### Merge Method This model was merged using the SLERP merge method. ### Models Merged The following models were included in the merge: * [NousResearch/Hermes-3-Llama-3.1-8B](https://huggingface.co/NousResearch/Hermes-3-Llama-3.1-8B) * [qingy2024/NaturalLM3-8B-Instruct-v0.1](https://huggingface.co/qingy2024/NaturalLM3-8B-Instruct-v0.1) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: qingy2024/NaturalLM3-8B-Instruct-v0.1 - model: NousResearch/Hermes-3-Llama-3.1-8B merge_method: slerp base_model: qingy2024/NaturalLM3-8B-Instruct-v0.1 dtype: bfloat16 parameters: t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Hermes for input & output, WizardMath in the middle layers ```