--- base_model: - mllm-dev/gpt2_f_experiment_2_1000 - mllm-dev/gpt2_f_experiment_1_1000 - mllm-dev/gpt2_f_experiment_4_1000 - mllm-dev/gpt2_f_experiment_0_1000 - mllm-dev/gpt2_f_experiment_3_1000 library_name: transformers tags: - mergekit - merge --- # sean_test_merge_out 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 [mllm-dev/gpt2_f_experiment_0_1000](https://huggingface.co/mllm-dev/gpt2_f_experiment_0_1000) as a base. ### Models Merged The following models were included in the merge: * [mllm-dev/gpt2_f_experiment_2_1000](https://huggingface.co/mllm-dev/gpt2_f_experiment_2_1000) * [mllm-dev/gpt2_f_experiment_1_1000](https://huggingface.co/mllm-dev/gpt2_f_experiment_1_1000) * [mllm-dev/gpt2_f_experiment_4_1000](https://huggingface.co/mllm-dev/gpt2_f_experiment_4_1000) * [mllm-dev/gpt2_f_experiment_3_1000](https://huggingface.co/mllm-dev/gpt2_f_experiment_3_1000) ### Configuration The following YAML configuration was used to produce this model: ```yaml base_model: model: path: mllm-dev/gpt2_f_experiment_0_1000 dtype: float16 merge_method: dare_ties parameters: normalize: 1.0 slices: - sources: - layer_range: [0, 12] model: model: path: mllm-dev/gpt2_f_experiment_0_1000 - layer_range: [0, 12] model: model: path: mllm-dev/gpt2_f_experiment_1_1000 parameters: density: 0.8 weight: 0.3 - layer_range: [0, 12] model: model: path: mllm-dev/gpt2_f_experiment_2_1000 parameters: density: 0.6 weight: 0.1 - layer_range: [0, 12] model: model: path: mllm-dev/gpt2_f_experiment_3_1000 parameters: density: 0.6 weight: 0.1 - layer_range: [0, 12] model: model: path: mllm-dev/gpt2_f_experiment_4_1000 parameters: density: 0.8 weight: 0.3 ```