richarderkhov/inv_-_konstanta-v4-alpha-7b-gguf overview

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    "summary": "This is a merge of pre-trained language models created using mergekit. Alright, so, this model seems to be REALLY good. Konstanta-7B is pretty good either, but this one is still marginally better.",
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    "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\nKonstanta-V4-Alpha-7B - GGUF\n- Model creator: https://huggingface.co/Inv/\n- Original model: https://huggingface.co/Inv/Konstanta-V4-Alpha-7B/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [Konstanta-V4-Alpha-7B.Q2_K.gguf](https://huggingface.co/RichardErkhov/Inv_-_Konstanta-V4-Alpha-7B-gguf/blob/main/Konstanta-V4-Alpha-7B.Q2_K.gguf) | Q2_K | 2.53GB |\n| [Konstanta-V4-Alpha-7B.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/Inv_-_Konstanta-V4-Alpha-7B-gguf/blob/main/Konstanta-V4-Alpha-7B.IQ3_XS.gguf) | IQ3_XS | 2.81GB |\n| [Konstanta-V4-Alpha-7B.IQ3_S.gguf](https://huggingface.co/RichardErkhov/Inv_-_Konstanta-V4-Alpha-7B-gguf/blob/main/Konstanta-V4-Alpha-7B.IQ3_S.gguf) | IQ3_S | 2.96GB |\n| [Konstanta-V4-Alpha-7B.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/Inv_-_Konstanta-V4-Alpha-7B-gguf/blob/main/Konstanta-V4-Alpha-7B.Q3_K_S.gguf) | Q3_K_S | 2.95GB |\n| [Konstanta-V4-Alpha-7B.IQ3_M.gguf](https://huggingface.co/RichardErkhov/Inv_-_Konstanta-V4-Alpha-7B-gguf/blob/main/Konstanta-V4-Alpha-7B.IQ3_M.gguf) | IQ3_M | 3.06GB |\n| [Konstanta-V4-Alpha-7B.Q3_K.gguf](https://huggingface.co/RichardErkhov/Inv_-_Konstanta-V4-Alpha-7B-gguf/blob/main/Konstanta-V4-Alpha-7B.Q3_K.gguf) | Q3_K | 3.28GB |\n| [Konstanta-V4-Alpha-7B.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/Inv_-_Konstanta-V4-Alpha-7B-gguf/blob/main/Konstanta-V4-Alpha-7B.Q3_K_M.gguf) | Q3_K_M | 3.28GB |\n| [Konstanta-V4-Alpha-7B.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/Inv_-_Konstanta-V4-Alpha-7B-gguf/blob/main/Konstanta-V4-Alpha-7B.Q3_K_L.gguf) | Q3_K_L | 3.56GB |\n| [Konstanta-V4-Alpha-7B.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/Inv_-_Konstanta-V4-Alpha-7B-gguf/blob/main/Konstanta-V4-Alpha-7B.IQ4_XS.gguf) | IQ4_XS | 3.67GB |\n| [Konstanta-V4-Alpha-7B.Q4_0.gguf](https://huggingface.co/RichardErkhov/Inv_-_Konstanta-V4-Alpha-7B-gguf/blob/main/Konstanta-V4-Alpha-7B.Q4_0.gguf) | Q4_0 | 3.83GB |\n| [Konstanta-V4-Alpha-7B.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/Inv_-_Konstanta-V4-Alpha-7B-gguf/blob/main/Konstanta-V4-Alpha-7B.IQ4_NL.gguf) | IQ4_NL | 3.87GB |\n| [Konstanta-V4-Alpha-7B.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/Inv_-_Konstanta-V4-Alpha-7B-gguf/blob/main/Konstanta-V4-Alpha-7B.Q4_K_S.gguf) | Q4_K_S | 3.86GB |\n| [Konstanta-V4-Alpha-7B.Q4_K.gguf](https://huggingface.co/RichardErkhov/Inv_-_Konstanta-V4-Alpha-7B-gguf/blob/main/Konstanta-V4-Alpha-7B.Q4_K.gguf) | Q4_K | 4.07GB |\n| [Konstanta-V4-Alpha-7B.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/Inv_-_Konstanta-V4-Alpha-7B-gguf/blob/main/Konstanta-V4-Alpha-7B.Q4_K_M.gguf) | Q4_K_M | 4.07GB |\n| [Konstanta-V4-Alpha-7B.Q4_1.gguf](https://huggingface.co/RichardErkhov/Inv_-_Konstanta-V4-Alpha-7B-gguf/blob/main/Konstanta-V4-Alpha-7B.Q4_1.gguf) | Q4_1 | 4.24GB |\n| [Konstanta-V4-Alpha-7B.Q5_0.gguf](https://huggingface.co/RichardErkhov/Inv_-_Konstanta-V4-Alpha-7B-gguf/blob/main/Konstanta-V4-Alpha-7B.Q5_0.gguf) | Q5_0 | 4.65GB |\n| [Konstanta-V4-Alpha-7B.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/Inv_-_Konstanta-V4-Alpha-7B-gguf/blob/main/Konstanta-V4-Alpha-7B.Q5_K_S.gguf) | Q5_K_S | 4.65GB |\n| [Konstanta-V4-Alpha-7B.Q5_K.gguf](https://huggingface.co/RichardErkhov/Inv_-_Konstanta-V4-Alpha-7B-gguf/blob/main/Konstanta-V4-Alpha-7B.Q5_K.gguf) | Q5_K | 4.78GB |\n| [Konstanta-V4-Alpha-7B.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/Inv_-_Konstanta-V4-Alpha-7B-gguf/blob/main/Konstanta-V4-Alpha-7B.Q5_K_M.gguf) | Q5_K_M | 4.78GB |\n| [Konstanta-V4-Alpha-7B.Q5_1.gguf](https://huggingface.co/RichardErkhov/Inv_-_Konstanta-V4-Alpha-7B-gguf/blob/main/Konstanta-V4-Alpha-7B.Q5_1.gguf) | Q5_1 | 5.07GB |\n| [Konstanta-V4-Alpha-7B.Q6_K.gguf](https://huggingface.co/RichardErkhov/Inv_-_Konstanta-V4-Alpha-7B-gguf/blob/main/Konstanta-V4-Alpha-7B.Q6_K.gguf) | Q6_K | 5.53GB |\n| [Konstanta-V4-Alpha-7B.Q8_0.gguf](https://huggingface.co/RichardErkhov/Inv_-_Konstanta-V4-Alpha-7B-gguf/blob/main/Konstanta-V4-Alpha-7B.Q8_0.gguf) | Q8_0 | 7.17GB |\n\n\n\n\nOriginal model description:\n---\nbase_model:\n- Inv/Konstanta-7B\nlibrary_name: transformers\ntags:\n- mergekit\n- merge\n- senseable/WestLake-7B-v2\n- KatyTheCutie/LemonadeRP-4.5.3\n- roleplay\n- rp\nlicense: apache-2.0\n---\n# Konstanta-V4-Alpha-7B\n\nThis is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).\n\nAlright, so, this model seems to be REALLY good. Konstanta-7B is pretty good either, but this one is still marginally better.\n\n## Merge Details\n### Merge Method\n\nThis model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [Inv/Konstanta-7B](https://huggingface.co/Inv/Konstanta-7B) as a base.\n\n### Models Merged\n\nThe following models were included in the merge:\n* senseable/WestLake-7B-v2\n* KatyTheCutie/LemonadeRP-4.5.3\n\n### Configuration\n\nThe following YAML configuration was used to produce this model:\n\n```yaml\n\nmerge_method: dare_ties\ndtype: bfloat16\nparameters:\n  int8_mask: true\nbase_model: Inv/Konstanta-7B\nmodels:\n  - model: Inv/Konstanta-7B\n  - model: KatyTheCutie/LemonadeRP-4.5.3\n    parameters:\n      density: 0.65\n      weight: [0.65, 0.40, 0.35, 0.30, 0.35, 0.40, 0.25]\n  - model: senseable/WestLake-7B-v2\n    parameters:\n      density: 0.85\n      weight: [0.25, 0.40, 0.35, 0.30, 0.35, 0.40, 0.65]\n\n```\n\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "arxiv:2311.03099",
    "arxiv:2306.01708",
    "endpoints_compatible",
    "region:us"
  ],
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  "last_modified": "2024-09-15T02:36:47.000Z",
  "created_at": "2024-09-14T20:32:23.000Z",
  "pipeline_tag": "",
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  "id": "RichardErkhov/Inv_-_Konstanta-V4-Alpha-7B-gguf",
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  "author": "RichardErkhov",
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