richarderkhov/chaoticneutrals_-_lunar_10.7b-gguf overview

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    "summary": "Detailed results can be found here |             Metric              |Value| |---------------------------------|----:| |Avg.                             |67.25| |AI2 Reasoning Challenge (25-Shot)|65.87| |HellaSwag (10-Shot)              |84.85| |MMLU (5-Shot)                    |64.23| |TruthfulQA (0-shot)              |53.51| |Winogrande (5-shot)              |81.37| |GSM8k (5-shot)                   |53.68|",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "Quantization made by Richard Erkhov.\n\n[Github](https://github.com/RichardErkhov)\n\n[Discord](https://discord.gg/pvy7H8DZMG)\n\n[Request more models](https://github.com/RichardErkhov/quant_request)\n\n\nLunar_10.7B - GGUF\n- Model creator: https://huggingface.co/ChaoticNeutrals/\n- Original model: https://huggingface.co/ChaoticNeutrals/Lunar_10.7B/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [Lunar_10.7B.Q2_K.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Lunar_10.7B-gguf/blob/main/Lunar_10.7B.Q2_K.gguf) | Q2_K | 3.73GB |\n| [Lunar_10.7B.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Lunar_10.7B-gguf/blob/main/Lunar_10.7B.IQ3_XS.gguf) | IQ3_XS | 4.14GB |\n| [Lunar_10.7B.IQ3_S.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Lunar_10.7B-gguf/blob/main/Lunar_10.7B.IQ3_S.gguf) | IQ3_S | 4.37GB |\n| [Lunar_10.7B.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Lunar_10.7B-gguf/blob/main/Lunar_10.7B.Q3_K_S.gguf) | Q3_K_S | 4.34GB |\n| [Lunar_10.7B.IQ3_M.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Lunar_10.7B-gguf/blob/main/Lunar_10.7B.IQ3_M.gguf) | IQ3_M | 4.51GB |\n| [Lunar_10.7B.Q3_K.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Lunar_10.7B-gguf/blob/main/Lunar_10.7B.Q3_K.gguf) | Q3_K | 4.84GB |\n| [Lunar_10.7B.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Lunar_10.7B-gguf/blob/main/Lunar_10.7B.Q3_K_M.gguf) | Q3_K_M | 4.84GB |\n| [Lunar_10.7B.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Lunar_10.7B-gguf/blob/main/Lunar_10.7B.Q3_K_L.gguf) | Q3_K_L | 5.26GB |\n| [Lunar_10.7B.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Lunar_10.7B-gguf/blob/main/Lunar_10.7B.IQ4_XS.gguf) | IQ4_XS | 5.43GB |\n| [Lunar_10.7B.Q4_0.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Lunar_10.7B-gguf/blob/main/Lunar_10.7B.Q4_0.gguf) | Q4_0 | 5.66GB |\n| [Lunar_10.7B.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Lunar_10.7B-gguf/blob/main/Lunar_10.7B.IQ4_NL.gguf) | IQ4_NL | 5.72GB |\n| [Lunar_10.7B.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Lunar_10.7B-gguf/blob/main/Lunar_10.7B.Q4_K_S.gguf) | Q4_K_S | 5.7GB |\n| [Lunar_10.7B.Q4_K.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Lunar_10.7B-gguf/blob/main/Lunar_10.7B.Q4_K.gguf) | Q4_K | 6.02GB |\n| [Lunar_10.7B.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Lunar_10.7B-gguf/blob/main/Lunar_10.7B.Q4_K_M.gguf) | Q4_K_M | 6.02GB |\n| [Lunar_10.7B.Q4_1.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Lunar_10.7B-gguf/blob/main/Lunar_10.7B.Q4_1.gguf) | Q4_1 | 6.27GB |\n| [Lunar_10.7B.Q5_0.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Lunar_10.7B-gguf/blob/main/Lunar_10.7B.Q5_0.gguf) | Q5_0 | 6.89GB |\n| [Lunar_10.7B.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Lunar_10.7B-gguf/blob/main/Lunar_10.7B.Q5_K_S.gguf) | Q5_K_S | 6.89GB |\n| [Lunar_10.7B.Q5_K.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Lunar_10.7B-gguf/blob/main/Lunar_10.7B.Q5_K.gguf) | Q5_K | 7.08GB |\n| [Lunar_10.7B.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Lunar_10.7B-gguf/blob/main/Lunar_10.7B.Q5_K_M.gguf) | Q5_K_M | 7.08GB |\n| [Lunar_10.7B.Q5_1.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Lunar_10.7B-gguf/blob/main/Lunar_10.7B.Q5_1.gguf) | Q5_1 | 7.51GB |\n| [Lunar_10.7B.Q6_K.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Lunar_10.7B-gguf/blob/main/Lunar_10.7B.Q6_K.gguf) | Q6_K | 8.2GB |\n| [Lunar_10.7B.Q8_0.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Lunar_10.7B-gguf/blob/main/Lunar_10.7B.Q8_0.gguf) | Q8_0 | 10.62GB |\n\n\n\n\nOriginal model description:\n---\nlanguage:\n- en\nlicense: cc-by-nc-sa-4.0\nmodel-index:\n- name: Lunar_10.7B\n  results:\n  - task:\n      type: text-generation\n      name: Text Generation\n    dataset:\n      name: AI2 Reasoning Challenge (25-Shot)\n      type: ai2_arc\n      config: ARC-Challenge\n      split: test\n      args:\n        num_few_shot: 25\n    metrics:\n    - type: acc_norm\n      value: 65.87\n      name: normalized accuracy\n    source:\n      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Lunar_10.7B\n      name: Open LLM Leaderboard\n  - task:\n      type: text-generation\n      name: Text Generation\n    dataset:\n      name: HellaSwag (10-Shot)\n      type: hellaswag\n      split: validation\n      args:\n        num_few_shot: 10\n    metrics:\n    - type: acc_norm\n      value: 84.85\n      name: normalized accuracy\n    source:\n      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Lunar_10.7B\n      name: Open LLM Leaderboard\n  - task:\n      type: text-generation\n      name: Text Generation\n    dataset:\n      name: MMLU (5-Shot)\n      type: cais/mmlu\n      config: all\n      split: test\n      args:\n        num_few_shot: 5\n    metrics:\n    - type: acc\n      value: 64.23\n      name: accuracy\n    source:\n      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Lunar_10.7B\n      name: Open LLM Leaderboard\n  - task:\n      type: text-generation\n      name: Text Generation\n    dataset:\n      name: TruthfulQA (0-shot)\n      type: truthful_qa\n      config: multiple_choice\n      split: validation\n      args:\n        num_few_shot: 0\n    metrics:\n    - type: mc2\n      value: 53.51\n    source:\n      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Lunar_10.7B\n      name: Open LLM Leaderboard\n  - task:\n      type: text-generation\n      name: Text Generation\n    dataset:\n      name: Winogrande (5-shot)\n      type: winogrande\n      config: winogrande_xl\n      split: validation\n      args:\n        num_few_shot: 5\n    metrics:\n    - type: acc\n      value: 81.37\n      name: accuracy\n    source:\n      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Lunar_10.7B\n      name: Open LLM Leaderboard\n  - task:\n      type: text-generation\n      name: Text Generation\n    dataset:\n      name: GSM8k (5-shot)\n      type: gsm8k\n      config: main\n      split: test\n      args:\n        num_few_shot: 5\n    metrics:\n    - type: acc\n      value: 53.68\n      name: accuracy\n    source:\n      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Lunar_10.7B\n      name: Open LLM Leaderboard\n---\nThis model consists of a finetuned model of my own SLERP merged with this model: https://huggingface.co/Sao10K/Sensualize-Solar-10.7B created by https://huggingface.co/Sao10K\n\n![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/626dfb8786671a29c715f8a9/tp9fP9c_jYpqePfhSy7y-.jpeg)\n\nLunar was produced by a variety of methods for the purpose of being a companion bot capable of intimacy as well as conversation.\n\nGGUF here: https://huggingface.co/jeiku/Lunar_10.7B_GGUF\n# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)\nDetailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_ChaoticNeutrals__Lunar_10.7B)\n\n|             Metric              |Value|\n|---------------------------------|----:|\n|Avg.                             |67.25|\n|AI2 Reasoning Challenge (25-Shot)|65.87|\n|HellaSwag (10-Shot)              |84.85|\n|MMLU (5-Shot)                    |64.23|\n|TruthfulQA (0-shot)              |53.51|\n|Winogrande (5-shot)              |81.37|\n|GSM8k (5-shot)                   |53.68|\n\n\n\n",
    "related_quantizations": []
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  "tags": [
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