--- license: llama3 library_name: transformers tags: - mergekit - merge base_model: - flammenai/Mahou-1.2-llama3-8B - lemon07r/Llama-3-RedMagic2-8B - lemon07r/Lllama-3-RedElixir-8B - NousResearch/Meta-Llama-3-8B - nbeerbower/llama-3-spicy-abliterated-stella-8B model-index: - name: Llama-3-RedMagic4-8B 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: 48.64 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lemon07r/Llama-3-RedMagic4-8B 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: 19.48 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lemon07r/Llama-3-RedMagic4-8B 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: 8.31 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lemon07r/Llama-3-RedMagic4-8B 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: 5.37 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lemon07r/Llama-3-RedMagic4-8B 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: 4.38 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lemon07r/Llama-3-RedMagic4-8B 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: 29.73 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lemon07r/Llama-3-RedMagic4-8B name: Open LLM Leaderboard --- # Llama-3-RedMagic4-8B 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 [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B) as a base. ### Models Merged The following models were included in the merge: * [flammenai/Mahou-1.2-llama3-8B](https://huggingface.co/flammenai/Mahou-1.2-llama3-8B) * [lemon07r/Llama-3-RedMagic2-8B](https://huggingface.co/lemon07r/Llama-3-RedMagic2-8B) * [lemon07r/Lllama-3-RedElixir-8B](https://huggingface.co/lemon07r/Lllama-3-RedElixir-8B) * [nbeerbower/llama-3-spicy-abliterated-stella-8B](https://huggingface.co/nbeerbower/llama-3-spicy-abliterated-stella-8B) ### Configuration The following YAML configuration was used to produce this model: ```yaml base_model: NousResearch/Meta-Llama-3-8B dtype: bfloat16 merge_method: model_stock slices: - sources: - layer_range: [0, 32] model: lemon07r/Llama-3-RedMagic2-8B - layer_range: [0, 32] model: lemon07r/Lllama-3-RedElixir-8B - layer_range: [0, 32] model: nbeerbower/llama-3-spicy-abliterated-stella-8B - layer_range: [0, 32] model: flammenai/Mahou-1.2-llama3-8B - layer_range: [0, 32] model: NousResearch/Meta-Llama-3-8B ``` # [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/details_lemon07r__Llama-3-RedMagic4-8B) | Metric |Value| |-------------------|----:| |Avg. |19.32| |IFEval (0-Shot) |48.64| |BBH (3-Shot) |19.48| |MATH Lvl 5 (4-Shot)| 8.31| |GPQA (0-shot) | 5.37| |MuSR (0-shot) | 4.38| |MMLU-PRO (5-shot) |29.73|