--- language: - en license: apache-2.0 library_name: transformers tags: - mergekit - merge - not-for-all-audiences base_model: - bamec66557/mergekit-slerp-uhnpbqg - bamec66557/mergekit-slerp-tsgkafq model-index: - name: MISCHIEVOUS-12B-Mix_III_ex_V results: - task: type: text-generation name: Text Generation dataset: name: IFEval (0-Shot) type: HuggingFaceH4/ifeval args: num_few_shot: 0 metrics: - type: inst_level_strict_acc and prompt_level_strict_acc value: 43.16 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_III_ex_V name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: BBH (3-Shot) type: BBH args: num_few_shot: 3 metrics: - type: acc_norm value: 34.87 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_III_ex_V name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MATH Lvl 5 (4-Shot) type: hendrycks/competition_math args: num_few_shot: 4 metrics: - type: exact_match value: 13.14 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_III_ex_V name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: GPQA (0-shot) type: Idavidrein/gpqa args: num_few_shot: 0 metrics: - type: acc_norm value: 9.4 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_III_ex_V name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MuSR (0-shot) type: TAUR-Lab/MuSR args: num_few_shot: 0 metrics: - type: acc_norm value: 12.77 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_III_ex_V name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MMLU-PRO (5-shot) type: TIGER-Lab/MMLU-Pro config: main split: test args: num_few_shot: 5 metrics: - type: acc value: 29.43 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_III_ex_V name: Open LLM Leaderboard --- # 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: * [bamec66557/mergekit-slerp-uhnpbqg](https://huggingface.co/bamec66557/mergekit-slerp-uhnpbqg) * [bamec66557/mergekit-slerp-tsgkafq](https://huggingface.co/bamec66557/mergekit-slerp-tsgkafq) ### Configuration The following YAML configuration was used to produce this model: ```yaml # Merging MISCHIEVOUS-12B-Mix Models with Sliced SLERP base_model: bamec66557/mergekit-slerp-tsgkafq dtype: bfloat16 merge_method: slerp tokenizer_source: union # Slices Configuration (Layer-Specific Merging) slices: - name: initial_layers sources: - model: bamec66557/mergekit-slerp-uhnpbqg layer_range: [0, 10] - model: bamec66557/mergekit-slerp-tsgkafq layer_range: [0, 10] parameters: t: - name: self_attn value: [0.8, 0.85, 0.9, 0.95, 1.0] - name: mlp value: [0.9, 0.95, 1.0, 1.05, 1.1] - name: layer_norm value: [0.6, 0.65, 0.7, 0.75, 0.8] - name: embed_tokens value: [1.0] - name: middle_layers sources: - model: bamec66557/mergekit-slerp-uhnpbqg layer_range: [10, 20] - model: bamec66557/mergekit-slerp-tsgkafq layer_range: [10, 20] parameters: t: - name: self_attn value: [0.7, 0.75, 0.8, 0.85, 0.9] - name: mlp value: [1.0, 0.95, 0.9, 0.85, 0.8] - name: layer_norm value: [0.5, 0.55, 0.6, 0.65, 0.7] - name: embed_tokens value: [1.0] - name: upper_middle_layers sources: - model: bamec66557/mergekit-slerp-uhnpbqg layer_range: [20, 30] - model: bamec66557/mergekit-slerp-tsgkafq layer_range: [20, 30] parameters: t: - name: self_attn value: [0.6, 0.65, 0.7, 0.75, 0.8] - name: mlp value: [0.8, 0.75, 0.7, 0.65, 0.6] - name: layer_norm value: [0.4, 0.45, 0.5, 0.55, 0.6] - name: embed_tokens value: [1.0] - name: final_layers sources: - model: bamec66557/mergekit-slerp-uhnpbqg layer_range: [30, 40] - model: bamec66557/mergekit-slerp-tsgkafq layer_range: [30, 40] parameters: t: - name: self_attn value: [0.9, 1.0, 1.1, 1.2, 1.3] - name: mlp value: [0.7, 0.65, 0.6, 0.55, 0.5] - name: layer_norm value: [0.7, 0.75, 0.8, 0.85, 0.9] - name: embed_tokens value: [1.0] # Regularization (Prevent Overfitting During Merging) regularization: methods: - name: weight_clipping clip_range: [-0.2, 0.2] - name: random_noise scale: 0.015 - name: l2_norm scale: 0.01 # Postprocessing (Enhance Merged Model Quality) postprocessing: operations: - name: random_noise scale: 0.0025 - name: non_linear_scaling parameters: function: tanh - name: sharpening intensity: 0.3 - name: gaussian_smoothing sigma: 1.5 - name: smoothing parameters: adaptive: true range: [0.8, 1.2] kernel_size: 5 - name: normalize - name: dynamic_scaling scale_range: [0.75, 1.25] # Optional: Ties Merging (Advanced Technique) ties: enabled: false # Set to true if ties merging is required method: greedy # Options: greedy, optimal, random layers: [0, 10, 20, 30] # Example layers for ties merging ``` # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/bamec66557__MISCHIEVOUS-12B-Mix_III_ex_V-details) | Metric |Value| |-------------------|----:| |Avg. |23.80| |IFEval (0-Shot) |43.16| |BBH (3-Shot) |34.87| |MATH Lvl 5 (4-Shot)|13.14| |GPQA (0-shot) | 9.40| |MuSR (0-shot) |12.77| |MMLU-PRO (5-shot) |29.43|