--- language: - en license: llama3.2 library_name: transformers tags: - mergekit - merge base_model: - Rombo-Org/Rombo-LLM-V2.7-llama-3.2-3b - unsloth/Llama-3.2-3B - Triangle104/Hermes3-R1-Llama3.2-3b model-index: - name: RomboHermes3-R1-Llama3.2-3b 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: 30.07 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/RomboHermes3-R1-Llama3.2-3b 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: 19.09 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/RomboHermes3-R1-Llama3.2-3b 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: 8.16 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/RomboHermes3-R1-Llama3.2-3b 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: 4.47 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/RomboHermes3-R1-Llama3.2-3b 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: 4.41 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/RomboHermes3-R1-Llama3.2-3b 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: 21.75 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/RomboHermes3-R1-Llama3.2-3b name: Open LLM Leaderboard --- # Merge This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). Quant: https://huggingface.co/Triangle104/RomboHermes3-R1-Llama3.2-3b-Q4_K_M-GGUF ## Merge Method This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [unsloth/Llama-3.2-3B](https://huggingface.co/unsloth/Llama-3.2-3B) as a base. ### Models Merged The following models were included in the merge: * [Rombo-Org/Rombo-LLM-V2.7-llama-3.2-3b](https://huggingface.co/Rombo-Org/Rombo-LLM-V2.7-llama-3.2-3b) * [Triangle104/Hermes3-R1-Llama3.2-3b](https://huggingface.co/Triangle104/Hermes3-R1-Llama3.2-3b) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: Rombo-Org/Rombo-LLM-V2.7-llama-3.2-3b parameters: density: 1 weight: 1 - model: Triangle104/Hermes3-R1-Llama3.2-3b parameters: density: 1 weight: 1 merge_method: ties base_model: unsloth/Llama-3.2-3B parameters: normalize: true 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__RomboHermes3-R1-Llama3.2-3b-details) | Metric |Value| |-------------------|----:| |Avg. |14.66| |IFEval (0-Shot) |30.07| |BBH (3-Shot) |19.09| |MATH Lvl 5 (4-Shot)| 8.16| |GPQA (0-shot) | 4.47| |MuSR (0-shot) | 4.41| |MMLU-PRO (5-shot) |21.75|