--- language: - en license: cc-by-4.0 library_name: transformers tags: - mergekit - merge - mistral - text-generation - roleplay base_model: - SanjiWatsuki/Silicon-Maid-7B - MTSAIR/multi_verse_model - SanjiWatsuki/Kunoichi-7B - KatyTheCutie/LemonadeRP-4.5.3 model-index: - name: Smart-Lemon-Cookie-7B results: - task: type: text-generation name: Text Generation dataset: name: AI2 Reasoning Challenge (25-Shot) type: ai2_arc config: ARC-Challenge split: test args: num_few_shot: 25 metrics: - type: acc_norm value: 66.3 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=FallenMerick/Smart-Lemon-Cookie-7B name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: HellaSwag (10-Shot) type: hellaswag split: validation args: num_few_shot: 10 metrics: - type: acc_norm value: 85.53 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=FallenMerick/Smart-Lemon-Cookie-7B name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MMLU (5-Shot) type: cais/mmlu config: all split: test args: num_few_shot: 5 metrics: - type: acc value: 64.69 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=FallenMerick/Smart-Lemon-Cookie-7B name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: TruthfulQA (0-shot) type: truthful_qa config: multiple_choice split: validation args: num_few_shot: 0 metrics: - type: mc2 value: 60.66 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=FallenMerick/Smart-Lemon-Cookie-7B name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: Winogrande (5-shot) type: winogrande config: winogrande_xl split: validation args: num_few_shot: 5 metrics: - type: acc value: 77.74 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=FallenMerick/Smart-Lemon-Cookie-7B name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: GSM8k (5-shot) type: gsm8k config: main split: test args: num_few_shot: 5 metrics: - type: acc value: 54.06 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=FallenMerick/Smart-Lemon-Cookie-7B name: Open LLM Leaderboard --- ![cute](https://huggingface.co/FallenMerick/Smart-Lemon-Cookie-7B/resolve/main/smart-lemon-cookie-cute.png) *image courtesy of [@matchaaaaa](https://huggingface.co/matchaaaaa)*

# Smart-Lemon-Cookie-7B This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). GGUF quants: * https://huggingface.co/FaradayDotDev/Smart-Lemon-Cookie-7B-GGUF * https://huggingface.co/mradermacher/Smart-Lemon-Cookie-7B-GGUF ## Merge Details ### Merge Method This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [MTSAIR/multi_verse_model](https://huggingface.co/MTSAIR/multi_verse_model) as a base. ### Models Merged The following models were included in the merge: * [SanjiWatsuki/Silicon-Maid-7B](https://huggingface.co/SanjiWatsuki/Silicon-Maid-7B) * [SanjiWatsuki/Kunoichi-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-7B) * [KatyTheCutie/LemonadeRP-4.5.3](https://huggingface.co/KatyTheCutie/LemonadeRP-4.5.3) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: SanjiWatsuki/Silicon-Maid-7B parameters: density: 1.0 weight: 1.0 - model: SanjiWatsuki/Kunoichi-7B parameters: density: 0.4 weight: 1.0 - model: KatyTheCutie/LemonadeRP-4.5.3 parameters: density: 0.6 weight: 1.0 merge_method: ties base_model: MTSAIR/multi_verse_model parameters: normalize: true dtype: float16 ``` # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_FallenMerick__Smart-Lemon-Cookie-7B) | Metric |Value| |---------------------------------|----:| |Avg. |68.16| |AI2 Reasoning Challenge (25-Shot)|66.30| |HellaSwag (10-Shot) |85.53| |MMLU (5-Shot) |64.69| |TruthfulQA (0-shot) |60.66| |Winogrande (5-shot) |77.74| |GSM8k (5-shot) |54.06|