--- license: apache-2.0 library_name: transformers tags: - mergekit - merge - not-for-all-audiences base_model: - bamec66557/VICIOUS_MESH-12B-BETA - bamec66557/VICIOUS_MESH-12B-OMEGA model-index: - name: Mistral-Nemo-VICIOUS_MESH-12B-2407 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: 67.21 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/Mistral-Nemo-VICIOUS_MESH-12B-2407 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: 31.36 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/Mistral-Nemo-VICIOUS_MESH-12B-2407 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: 12.08 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/Mistral-Nemo-VICIOUS_MESH-12B-2407 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: 8.84 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/Mistral-Nemo-VICIOUS_MESH-12B-2407 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: 14.34 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/Mistral-Nemo-VICIOUS_MESH-12B-2407 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: 29.76 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/Mistral-Nemo-VICIOUS_MESH-12B-2407 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/VICIOUS_MESH-12B-BETA](https://huggingface.co/bamec66557/VICIOUS_MESH-12B-BETA) * [bamec66557/VICIOUS_MESH-12B-OMEGA](https://huggingface.co/bamec66557/VICIOUS_MESH-12B-OMEGA) ### Configuration The following YAML configuration was used to produce this model: ```yaml base_model: bamec66557/VICIOUS_MESH-12B-OMEGA dtype: bfloat16 merge_method: slerp tokenizer_source: base # Slices Configuration (Layer-Specific Merging) slices: - sources: - model: bamec66557/VICIOUS_MESH-12B-OMEGA layer_range: [0, 5] - model: bamec66557/VICIOUS_MESH-12B-BETA layer_range: [0, 5] parameters: t: - name: self_attn value: [0.85, 0.88, 0.91, 0.94, 0.97] - name: mlp value: [0.9, 0.92, 0.95, 0.98, 1.0] - name: layer_norm value: [0.75, 0.78, 0.81, 0.84, 0.87] - name: embed_tokens value: [1.0] - sources: - model: bamec66557/VICIOUS_MESH-12B-OMEGA layer_range: [5, 10] - model: bamec66557/VICIOUS_MESH-12B-BETA layer_range: [5, 10] parameters: t: - name: self_attn value: [0.8, 0.83, 0.86, 0.89, 0.92] - name: mlp value: [0.88, 0.91, 0.94, 0.97, 1.0] - name: layer_norm value: [0.7, 0.73, 0.76, 0.79, 0.82] - name: embed_tokens value: [1.0] - sources: - model: bamec66557/VICIOUS_MESH-12B-OMEGA layer_range: [10, 15] - model: bamec66557/VICIOUS_MESH-12B-BETA layer_range: [10, 15] parameters: t: - name: self_attn value: [0.75, 0.78, 0.81, 0.84, 0.87] - name: mlp value: [0.85, 0.88, 0.91, 0.94, 0.97] - name: layer_norm value: [0.65, 0.68, 0.71, 0.74, 0.77] - name: embed_tokens value: [1.0] - sources: - model: bamec66557/VICIOUS_MESH-12B-OMEGA layer_range: [15, 20] - model: bamec66557/VICIOUS_MESH-12B-BETA layer_range: [15, 20] parameters: t: - name: self_attn value: [0.72, 0.75, 0.78, 0.81, 0.84] - name: mlp value: [0.8, 0.83, 0.86, 0.89, 0.92] - name: layer_norm value: [0.6, 0.63, 0.66, 0.69, 0.72] - name: embed_tokens value: [1.0] - sources: - model: bamec66557/VICIOUS_MESH-12B-OMEGA layer_range: [20, 25] - model: bamec66557/VICIOUS_MESH-12B-BETA layer_range: [20, 25] parameters: t: - name: self_attn value: [0.7, 0.73, 0.76, 0.79, 0.82] - name: mlp value: [0.75, 0.78, 0.81, 0.84, 0.87] - name: layer_norm value: [0.55, 0.58, 0.61, 0.64, 0.67] - name: embed_tokens value: [1.0] - sources: - model: bamec66557/VICIOUS_MESH-12B-OMEGA layer_range: [25, 30] - model: bamec66557/VICIOUS_MESH-12B-BETA layer_range: [25, 30] parameters: t: - name: self_attn value: [0.68, 0.71, 0.74, 0.77, 0.8] - name: mlp value: [0.7, 0.73, 0.76, 0.79, 0.82] - name: layer_norm value: [0.5, 0.53, 0.56, 0.59, 0.62] - name: embed_tokens value: [1.0] - sources: - model: bamec66557/VICIOUS_MESH-12B-OMEGA layer_range: [30, 35] - model: bamec66557/VICIOUS_MESH-12B-BETA layer_range: [30, 35] parameters: t: - name: self_attn value: [0.65, 0.68, 0.71, 0.74, 0.77] - name: mlp value: [0.68, 0.71, 0.74, 0.77, 0.8] - name: layer_norm value: [0.45, 0.48, 0.51, 0.54, 0.57] - name: embed_tokens value: [1.0] - sources: - model: bamec66557/VICIOUS_MESH-12B-OMEGA layer_range: [35, 40] - model: bamec66557/VICIOUS_MESH-12B-BETA layer_range: [35, 40] parameters: t: - name: self_attn value: [0.6, 0.63, 0.66, 0.69, 0.72] - name: mlp value: [0.65, 0.68, 0.71, 0.74, 0.77] - name: layer_norm value: [0.4, 0.43, 0.46, 0.49, 0.52] - name: embed_tokens value: [1.0] # Regularization regularization: - method: weight_clipping clip_range: [-0.1, 0.1] - method: random_noise scale: 0.003 - method: attention_dropout scale: 0.05 - method: gradient_clipping clip_norm: 1.0 # Postprocessing postprocessing: - operation: non_linear_scaling parameters: function: tanh - operation: sharpening intensity: 0.4 - operation: gaussian_smoothing sigma: 1.0 - operation: normalize - operation: dynamic_scaling scale_range: [0.85, 1.15] - operation: smoothing parameters: adaptive: true range: [0.9, 1.1] kernel_size: 3 ``` # [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__Mistral-Nemo-VICIOUS_MESH-12B-2407-details) | Metric |Value| |-------------------|----:| |Avg. |27.26| |IFEval (0-Shot) |67.21| |BBH (3-Shot) |31.36| |MATH Lvl 5 (4-Shot)|12.08| |GPQA (0-shot) | 8.84| |MuSR (0-shot) |14.34| |MMLU-PRO (5-shot) |29.76|