--- datasets: - alexandreteles/AlpacaToxicQA_ShareGPT - Nitral-AI/Active_RP-ShareGPT - PJMixers/hieunguyenminh_roleplay-deduped-ShareGPT - Nitral-AI/RP_Alignment-ShareGPT - Chaser-cz/sonnet35-charcard-roleplay-sharegpt - AiCloser/sharegpt_cot_dataset - PJMixers/Gryphe_Opus-WritingPrompts-Story2Prompt-ShareGPT - priveeai/pippa_sharegpt - Locutusque/sharegpt_gpt4_uncensored_cleaned - OpenCoder-LLM/opc-sft-stage1 - OpenCoder-LLM/opc-sft-stage2 - microsoft/orca-agentinstruct-1M-v1 - microsoft/orca-math-word-problems-200k - NousResearch/hermes-function-calling-v1 - AI-MO/NuminaMath-CoT - AI-MO/NuminaMath-TIR - allenai/tulu-3-sft-mixture - cognitivecomputations/dolphin-coder - HuggingFaceTB/smoltalk - cognitivecomputations/samantha-data - m-a-p/CodeFeedback-Filtered-Instruction - m-a-p/Code-Feedback base_model: - NickyNicky/Llama-1B-GRPO_Final - xdrshjr/llama3.2_1b_uncensored_5000_8epoch_lora - bunnycore/FuseChat-3.2-1B-Creative-RP - huihui-ai/Llama-3.2-1B-Instruct-abliterated - prithivMLmods/Bellatrix-Tiny-1B-v3 - cognitivecomputations/Dolphin3.0-Llama3.2-1B library_name: transformers tags: - mergekit - merge language: - es - en license: apache-2.0 pipeline_tag: text-generation model-index: - name: La_Mejor_Mezcla-3.2-1B 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: 55.1 name: averaged accuracy source: url: >- https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Novaciano%2FLa_Mejor_Mezcla-3.2-1B 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: 9.41 name: normalized accuracy source: url: >- https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Novaciano%2FLa_Mejor_Mezcla-3.2-1B 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: 8.99 name: exact match source: url: >- https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Novaciano%2FLa_Mejor_Mezcla-3.2-1B 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: 1.01 name: acc_norm source: url: >- https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Novaciano%2FLa_Mejor_Mezcla-3.2-1B 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: 0.62 name: acc_norm source: url: >- https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Novaciano%2FLa_Mejor_Mezcla-3.2-1B 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: 9.21 name: accuracy source: url: >- https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Novaciano%2FLa_Mejor_Mezcla-3.2-1B name: Open LLM Leaderboard new_version: Novaciano/Pandemonium-3.2-1B --- # 🏆 1st BEST Model Llama 3.2 1B of UGI Scoreboard [16/03/2025] 🥇
IMG-20250316-152235
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1559d4be98b5a26edf62ee40695ececc-high
# Mezcla *Esta es una mezcla de modelos de lenguaje pre-entrenados creado a partir de [mergekit](https://github.com/cg123/mergekit).* ## Detalles de la mezcla *Fue creado a partir de los que considero los mejores modelos que he usado de base para mis anteriores creaciones. Cada uno destaca en lo suyo:* - Roleplay - GRPO - Uncensored - Abliterated - Gran cantidad de datasets inyectados ### Método de Mezcla *Este modelo ha sido mezclado usando el método de mezcla [Model Stock](https://arxiv.org/abs/2403.19522) usando [bunnycore/FuseChat-3.2-1B-Creative-RP](https://huggingface.co/bunnycore/FuseChat-3.2-1B-Creative-RP) como base.* ### Modelos Mezclados *Los siguientes modelos han sido incluidos en la mezcla:* * [NickyNicky/Llama-1B-GRPO_Final](https://huggingface.co/NickyNicky/Llama-1B-GRPO_Final) * [xdrshjr/llama3.2_1b_uncensored_5000_8epoch_lora](https://huggingface.co/xdrshjr/llama3.2_1b_uncensored_5000_8epoch_lora) * [huihui-ai/Llama-3.2-1B-Instruct-abliterated](https://huggingface.co/huihui-ai/Llama-3.2-1B-Instruct-abliterated) * [prithivMLmods/Bellatrix-Tiny-1B-v3](https://huggingface.co/prithivMLmods/Bellatrix-Tiny-1B-v3) * [cognitivecomputations/Dolphin3.0-Llama3.2-1B](https://huggingface.co/cognitivecomputations/Dolphin3.0-Llama3.2-1B) ### Configuración *La siguiente configuración YAML ha sido usada para producir el modelo:* ```yaml models: - model: bunnycore/FuseChat-3.2-1B-Creative-RP - model: NickyNicky/Llama-1B-GRPO_Final - model: prithivMLmods/Bellatrix-Tiny-1B-v3 - model: xdrshjr/llama3.2_1b_uncensored_5000_8epoch_lora - model: cognitivecomputations/Dolphin3.0-Llama3.2-1B - model: huihui-ai/Llama-3.2-1B-Instruct-abliterated merge_method: model_stock base_model: bunnycore/FuseChat-3.2-1B-Creative-RP dtype: bfloat16 parameters: t: [0, 0.5, 1, 0.5, 0] ``` # [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/Novaciano__La_Mejor_Mezcla-3.2-1B-details)! Summarized results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/contents/viewer/default/train?q=Novaciano%2FLa_Mejor_Mezcla-3.2-1B&sort[column]=Average%20%E2%AC%86%EF%B8%8F&sort[direction]=desc)! | Metric |Value (%)| |-------------------|--------:| |**Average** | 14.06| |IFEval (0-Shot) | 55.10| |BBH (3-Shot) | 9.41| |MATH Lvl 5 (4-Shot)| 8.99| |GPQA (0-shot) | 1.01| |MuSR (0-shot) | 0.62| |MMLU-PRO (5-shot) | 9.21|