--- language: - en - zh license: apache-2.0 library_name: transformers tags: - mergekit - merge base_model: - sthenno-com/miscii-14b-1225 - sthenno/tempesthenno-ppo-ckpt40 metrics: - accuracy model-index: - name: miscii-14b-0218 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: 76.56 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-0218 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: 50.64 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-0218 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: 51.44 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-0218 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: 17.79 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-0218 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: 13.21 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-0218 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: 47.75 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-0218 name: Open LLM Leaderboard --- # miscii-14b-0218 ![](banner.png) Image source: [The Angel’s Message](http://lastlabyrinth.net/agm/) 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 [Model Stock](https://arxiv.org/abs/2403.19522) merge method using /Users/sthenno/models/tempesthenno-ppo-enchanted as a base. ### Models Merged The following models were included in the merge: * /Users/sthenno/models/tempesthenno-sft-0218-stage2-ckpt40 * /Users/sthenno/models/tempesthenno-sft-0218-stage2-ckpt50 * /Users/sthenno/models/tempesthenno-sft-0218-stage2-ckpt60 * /Users/sthenno/models/tempesthenno-sft-0218-ckpt60 * /Users/sthenno/models/tempesthenno-sft-0218-ckpt80 ### Configuration The following YAML configuration was used to produce this model: ```yaml name: tempesthenno-ms-0218 merge_method: model_stock base_model: /Users/sthenno/models/tempesthenno-ppo-enchanted tokenizer: source: base dtype: float32 out_dtype: bfloat16 parameters: int8_mask: true normalize: true rescale: false models: - model: /Users/sthenno/models/tempesthenno-sft-0218-ckpt60 - model: /Users/sthenno/models/tempesthenno-sft-0218-ckpt80 - model: /Users/sthenno/models/tempesthenno-sft-0218-stage2-ckpt40 - model: /Users/sthenno/models/tempesthenno-sft-0218-stage2-ckpt50 - model: /Users/sthenno/models/tempesthenno-sft-0218-stage2-ckpt60 ``` # [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/sthenno-com__miscii-14b-0218-details) | Metric |Value| |-------------------|----:| |Avg. |42.90| |IFEval (0-Shot) |76.56| |BBH (3-Shot) |50.64| |MATH Lvl 5 (4-Shot)|51.44| |GPQA (0-shot) |17.79| |MuSR (0-shot) |13.21| |MMLU-PRO (5-shot) |47.75|