--- language: - en license: apache-2.0 tags: - text-generation-inference - transformers - unsloth - mistral - trl base_model: LeroyDyer/_Spydaz_Web_AI_AGI_R1_MUSR_I model-index: - name: _Spydaz_Web_AI_AGI_R1_OmG_Coder 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: 49.24 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_Coder 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: 24.69 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_Coder 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: 5.44 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_Coder 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: 3.13 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_Coder 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: 32.37 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_Coder 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: 21.0 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_Coder name: Open LLM Leaderboard --- # Uploaded model - **Developed by:** LeroyDyer - **License:** apache-2.0 - **Finetuned from model :** LeroyDyer/_Spydaz_Web_AI_AGI_R1_MUSR_I This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. [](https://github.com/unslothai/unsloth) # [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/LeroyDyer___Spydaz_Web_AI_AGI_R1_OmG_Coder-details) | Metric |Value| |-------------------|----:| |Avg. |22.64| |IFEval (0-Shot) |49.24| |BBH (3-Shot) |24.69| |MATH Lvl 5 (4-Shot)| 5.44| |GPQA (0-shot) | 3.13| |MuSR (0-shot) |32.37| |MMLU-PRO (5-shot) |21.00|