--- license: apache-2.0 library_name: transformers tags: - mergekit - merge base_model: - spow12/ChatWaifu_12B_v2.0 - anthracite-org/magnum-v4-12b model-index: - name: Chatty-Harry_V2.0 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: 33.26 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Chatty-Harry_V2.0 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: 32.76 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Chatty-Harry_V2.0 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: 13.29 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Chatty-Harry_V2.0 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: 9.73 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Chatty-Harry_V2.0 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: 11.54 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Chatty-Harry_V2.0 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: 29.81 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Chatty-Harry_V2.0 name: Open LLM Leaderboard --- # Merge This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). --- Model details: - ![image/png](https://cdn-uploads.huggingface.co/production/uploads/66c1cc08453a7ef6c5fe657a/0KzNTEtn2kJJQsw4lQeY0.png) *Do I feel lucky?* V0.1 was spitting out nonsense, so have attempted a different merge method and parameters. --- ### Merge Method This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [anthracite-org/magnum-v4-12b](https://huggingface.co/anthracite-org/magnum-v4-12b) as a base. ### Models Merged The following models were included in the merge: * [spow12/ChatWaifu_12B_v2.0](https://huggingface.co/spow12/ChatWaifu_12B_v2.0) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: spow12/ChatWaifu_12B_v2.0 parameters: density: 0.25 weight: 0.25 - model: anthracite-org/magnum-v4-12b parameters: density: 0.5 weight: 0.5 merge_method: ties base_model: anthracite-org/magnum-v4-12b parameters: normalize: false int8_mask: true dtype: float16 ``` # [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/Triangle104__Chatty-Harry_V2.0-details) | Metric |Value| |-------------------|----:| |Avg. |21.73| |IFEval (0-Shot) |33.26| |BBH (3-Shot) |32.76| |MATH Lvl 5 (4-Shot)|13.29| |GPQA (0-shot) | 9.73| |MuSR (0-shot) |11.54| |MMLU-PRO (5-shot) |29.81|