duyntnet/icecoffeerp-7b-imatrix-gguf overview

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      "IceCoffeeRP-7b"
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    "frontmatter": {
      "license": "other",
      "language": [
        "en"
      ],
      "pipeline_tag": "text-generation",
      "inference": "false",
      "tags": [
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    "summary": "This is a merge of pre-trained language models created using mergekit. Prompt template: Alpaca, maybe ChatML * measurement.json for quanting exl2 included. ### Merge Method This model was merged using the SLERP merge method. ### Models Merged The following models were included in the merge: * G:\\FModels\\IceCoffeeTest10 * G:\\FModels\\IceCoffeeTest5 ### Configuration The following YAML configuration was used to produce this model: ``yaml slices: layer_range: [0, 32] layer_range: [0, 32] merge_method: slerp base_model: G:\\FModels\\IceCoffeeTest5 parameters: t: value: [0, 0.5, 0.3, 0.7, 1] value: [1, 0.5, 0.7, 0.3, 0] dtype: float16 `` # Open LLM Leaderboard Evaluation Results Detailed results can be found here |             Metric              |Value| |---------------------------------|----:| |Avg.                             |73.19| |AI2 Reasoning Challenge (25-Shot)|71.16| |HellaSwag (10-Shot)              |87.74| |MMLU (5-Shot)                    |63.54| |TruthfulQA (0-shot)              |70.03| |Winogrande (5-shot)              |82.48| |GSM8k (5-shot)                   |64.22| # Open LLM Leaderboard Evaluation Results Detailed results can be found here |      Metric       |Value| |-------------------|----:| |Avg.               |20.24| |IFEval (0-Shot)    |49.59| |BBH (3-Shot)       |29.40| |MATH Lvl 5 (4-Shot)| 4.83| |GPQA (0-shot)      | 4.70| |MuSR (0-shot)      |11.00| |MMLU-PRO (5-shot)  |21.94|",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nlicense: other\nlanguage:\n- en\npipeline_tag: text-generation\ninference: false\ntags:\n- transformers\n- gguf\n- imatrix\n- IceCoffeeRP-7b\n---\n\nQuantizations of https://huggingface.co/icefog72/IceCoffeeRP-7b\n\n\n### Open source inference clients/UIs\n* [llama.cpp](https://github.com/ggerganov/llama.cpp)\n* [KoboldCPP](https://github.com/LostRuins/koboldcpp)\n* [text-generation-webui](https://github.com/oobabooga/text-generation-webui)\n* [jan](https://github.com/menloresearch/jan)\n* [ik_llama.cpp](https://github.com/ikawrakow/ik_llama.cpp)\n* [croco.cpp](https://github.com/Nexesenex/croco.cpp)\n\n### Closed source inference clients/UIs\n* [LM Studio](https://lmstudio.ai/)\n* More will be added...\n---\n\n# From original readme\n\nThis is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).\nPrompt template: Alpaca, maybe ChatML\n\n* measurement.json for quanting exl2 included.\n\n- [4.2bpw-exl2](https://huggingface.co/icefog72/IceCoffeeRP-7b-4.2bpw-exl2)\n- [6.5bpw-exl2](https://huggingface.co/icefog72/IceCoffeeRP-7b-6.5bpw-exl2)\n- [8bpw-exl2](https://huggingface.co/icefog72/IceCoffeeRP-7b-8bpw-exl2)\n\n### Merge Method\n\nThis model was merged using the SLERP merge method.\n\n### Models Merged\n\nThe following models were included in the merge:\n* G:\\FModels\\IceCoffeeTest10\n* G:\\FModels\\IceCoffeeTest5\n\n### Configuration\n\nThe following YAML configuration was used to produce this model:\n\n```yaml\n\nslices:\n  - sources:\n      - model: G:\\FModels\\IceCoffeeTest5\n        layer_range: [0, 32]\n      - model: G:\\FModels\\IceCoffeeTest10\n        layer_range: [0, 32]\nmerge_method: slerp\nbase_model: G:\\FModels\\IceCoffeeTest5\nparameters:\n  t:\n    - filter: self_attn\n      value: [0, 0.5, 0.3, 0.7, 1]\n    - filter: mlp\n      value: [1, 0.5, 0.7, 0.3, 0]\n    - value: 0.5\ndtype: float16\n```\n\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_icefog72__IceCoffeeTest11)\n\n|             Metric              |Value|\n|---------------------------------|----:|\n|Avg.                             |73.19|\n|AI2 Reasoning Challenge (25-Shot)|71.16|\n|HellaSwag (10-Shot)              |87.74|\n|MMLU (5-Shot)                    |63.54|\n|TruthfulQA (0-shot)              |70.03|\n|Winogrande (5-shot)              |82.48|\n|GSM8k (5-shot)                   |64.22|\n\n\n# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)\nDetailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_icefog72__IceCoffeeRP-7b)\n\n|      Metric       |Value|\n|-------------------|----:|\n|Avg.               |20.24|\n|IFEval (0-Shot)    |49.59|\n|BBH (3-Shot)       |29.40|\n|MATH Lvl 5 (4-Shot)| 4.83|\n|GPQA (0-shot)      | 4.70|\n|MuSR (0-shot)      |11.00|\n|MMLU-PRO (5-shot)  |21.94|\n\n",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "imatrix",
    "IceCoffeeRP-7b",
    "text-generation",
    "en",
    "license:other",
    "region:us",
    "conversational"
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  "last_modified": "2025-08-25T06:50:15.000Z",
  "created_at": "2025-08-25T06:00:54.000Z",
  "pipeline_tag": "text-generation",
  "library_name": "transformers"
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