--- base_model: - CultriX/SeQwence-14Bv1 - CultriX/Qwestion-14B - CultriX/Qwen2.5-14B-Wernicke library_name: transformers tags: - mergekit - merge license: apache-2.0 language: - en metrics: - accuracy pipeline_tag: text-generation --- # final_model 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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [CultriX/SeQwence-14Bv1](https://huggingface.co/CultriX/SeQwence-14Bv1) as a base. ### Models Merged The following models were included in the merge: * [CultriX/Qwestion-14B](https://huggingface.co/CultriX/Qwestion-14B) * [CultriX/Qwen2.5-14B-Wernicke](https://huggingface.co/CultriX/Qwen2.5-14B-Wernicke) ### Configuration The following YAML configuration was used to produce this model: ```yaml base_model: CultriX/SeQwence-14Bv1 dtype: bfloat16 merge_method: dare_ties parameters: int8_mask: 1.0 normalize: 1.0 slices: - sources: - layer_range: [0, 48] model: CultriX/SeQwence-14Bv1 parameters: density: [0.9723868064882017, 1.0, 1.0, 1.0, 1.0, 0.9714039829478123] weight: [0.303941801676895, 0.364404551023674, 0.315900913803921, 0.3276032249804535, 0.32167313684876814, 0.4385348686221433] - layer_range: [0, 48] model: CultriX/Qwestion-14B parameters: density: [1.0, 0.9914516102369406, 1.0, 0.8035966798672015, 0.8192028457518323, 0.9514479609471497] weight: [0.23754044230348376, 0.26302919982461254, 0.26313082788173275, 0.17815237275761467, 0.34301750695974753, 0.5374787613924082] - layer_range: [0, 48] model: CultriX/Qwen2.5-14B-Wernicke parameters: density: [0.9250003667144193, 0.9603820599250329, 0.8766642760655986, 1.0, 0.9993615706551808, 0.7459506348277176] weight: [0.48038202535582214, 0.5870170049221364, 0.27054455623315504, 0.06016442415521043, 0.4012739361231067, 0.26890177448533076] ```