--- base_model: - DreadPoor/LemonP_ALT-8B-Model_Stock - DreadPoor/Heart_Stolen-8B-Model_Stock - DreadPoor/Aspire_1.3-8B_model-stock - grimjim/Llama-3-Instruct-abliteration-LoRA-8B library_name: transformers tags: - mergekit - merge license: apache-2.0 model-index: - name: Alita99-8B-LINEAR results: - task: type: text-generation name: Text Generation dataset: name: IFEval (0-Shot) type: wis-k/instruction-following-eval split: train args: num_few_shot: 0 metrics: - type: inst_level_strict_acc and prompt_level_strict_acc value: 71.9 name: averaged accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2FAlita99-8B-LINEAR name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: BBH (3-Shot) type: SaylorTwift/bbh split: test args: num_few_shot: 3 metrics: - type: acc_norm value: 35.01 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2FAlita99-8B-LINEAR name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MATH Lvl 5 (4-Shot) type: lighteval/MATH-Hard split: test args: num_few_shot: 4 metrics: - type: exact_match value: 16.47 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2FAlita99-8B-LINEAR name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: GPQA (0-shot) type: Idavidrein/gpqa split: train 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#/?search=DreadPoor%2FAlita99-8B-LINEAR 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: 12.93 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2FAlita99-8B-LINEAR 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: 31.21 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2FAlita99-8B-LINEAR 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 [linear](https://arxiv.org/abs/2203.05482) merge method. ### Models Merged The following models were included in the merge: * [DreadPoor/LemonP_ALT-8B-Model_Stock](https://huggingface.co/DreadPoor/LemonP_ALT-8B-Model_Stock) * [DreadPoor/Heart_Stolen-8B-Model_Stock](https://huggingface.co/DreadPoor/Heart_Stolen-8B-Model_Stock) * [DreadPoor/Aspire_1.3-8B_model-stock](https://huggingface.co/DreadPoor/Aspire_1.3-8B_model-stock) + [grimjim/Llama-3-Instruct-abliteration-LoRA-8B](https://huggingface.co/grimjim/Llama-3-Instruct-abliteration-LoRA-8B) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: DreadPoor/Aspire_1.3-8B_model-stock+grimjim/Llama-3-Instruct-abliteration-LoRA-8B parameters: weight: 1.0 - model: DreadPoor/LemonP_ALT-8B-Model_Stock parameters: weight: 1.0 - model: DreadPoor/Heart_Stolen-8B-Model_Stock parameters: weight: 1.0 merge_method: linear normalize: false int8_mask: true dtype: bfloat16 ``` # [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/DreadPoor__Alita99-8B-LINEAR-details)! Summarized results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/contents/viewer/default/train?q=DreadPoor%2FAlita99-8B-LINEAR&sort[column]=Average%20%E2%AC%86%EF%B8%8F&sort[direction]=desc)! | Metric |Value (%)| |-------------------|--------:| |**Average** | 29.39| |IFEval (0-Shot) | 71.90| |BBH (3-Shot) | 35.01| |MATH Lvl 5 (4-Shot)| 16.47| |GPQA (0-shot) | 8.84| |MuSR (0-shot) | 12.93| |MMLU-PRO (5-shot) | 31.21|