richarderkhov/awnr_-_mistral-7b-v0.1-half-naive-a-gguf overview

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    "summary": "I'm experimenting with the weight matrices in neural networks. This is a clone of Mistral-7B-v0.1 with some weight matrices replaced. I'm interested in seeing how the adjustmenets affect performance on existing metrics.",
    "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\nMistral-7B-v0.1-half-naive-A - GGUF\n- Model creator: https://huggingface.co/awnr/\n- Original model: https://huggingface.co/awnr/Mistral-7B-v0.1-half-naive-A/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [Mistral-7B-v0.1-half-naive-A.Q2_K.gguf](https://huggingface.co/RichardErkhov/awnr_-_Mistral-7B-v0.1-half-naive-A-gguf/blob/main/Mistral-7B-v0.1-half-naive-A.Q2_K.gguf) | Q2_K | 2.53GB |\n| [Mistral-7B-v0.1-half-naive-A.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/awnr_-_Mistral-7B-v0.1-half-naive-A-gguf/blob/main/Mistral-7B-v0.1-half-naive-A.IQ3_XS.gguf) | IQ3_XS | 2.81GB |\n| [Mistral-7B-v0.1-half-naive-A.IQ3_S.gguf](https://huggingface.co/RichardErkhov/awnr_-_Mistral-7B-v0.1-half-naive-A-gguf/blob/main/Mistral-7B-v0.1-half-naive-A.IQ3_S.gguf) | IQ3_S | 2.96GB |\n| [Mistral-7B-v0.1-half-naive-A.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/awnr_-_Mistral-7B-v0.1-half-naive-A-gguf/blob/main/Mistral-7B-v0.1-half-naive-A.Q3_K_S.gguf) | Q3_K_S | 2.95GB |\n| [Mistral-7B-v0.1-half-naive-A.IQ3_M.gguf](https://huggingface.co/RichardErkhov/awnr_-_Mistral-7B-v0.1-half-naive-A-gguf/blob/main/Mistral-7B-v0.1-half-naive-A.IQ3_M.gguf) | IQ3_M | 3.06GB |\n| [Mistral-7B-v0.1-half-naive-A.Q3_K.gguf](https://huggingface.co/RichardErkhov/awnr_-_Mistral-7B-v0.1-half-naive-A-gguf/blob/main/Mistral-7B-v0.1-half-naive-A.Q3_K.gguf) | Q3_K | 3.28GB |\n| [Mistral-7B-v0.1-half-naive-A.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/awnr_-_Mistral-7B-v0.1-half-naive-A-gguf/blob/main/Mistral-7B-v0.1-half-naive-A.Q3_K_M.gguf) | Q3_K_M | 3.28GB |\n| [Mistral-7B-v0.1-half-naive-A.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/awnr_-_Mistral-7B-v0.1-half-naive-A-gguf/blob/main/Mistral-7B-v0.1-half-naive-A.Q3_K_L.gguf) | Q3_K_L | 3.56GB |\n| [Mistral-7B-v0.1-half-naive-A.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/awnr_-_Mistral-7B-v0.1-half-naive-A-gguf/blob/main/Mistral-7B-v0.1-half-naive-A.IQ4_XS.gguf) | IQ4_XS | 3.67GB |\n| [Mistral-7B-v0.1-half-naive-A.Q4_0.gguf](https://huggingface.co/RichardErkhov/awnr_-_Mistral-7B-v0.1-half-naive-A-gguf/blob/main/Mistral-7B-v0.1-half-naive-A.Q4_0.gguf) | Q4_0 | 3.83GB |\n| [Mistral-7B-v0.1-half-naive-A.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/awnr_-_Mistral-7B-v0.1-half-naive-A-gguf/blob/main/Mistral-7B-v0.1-half-naive-A.IQ4_NL.gguf) | IQ4_NL | 3.87GB |\n| [Mistral-7B-v0.1-half-naive-A.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/awnr_-_Mistral-7B-v0.1-half-naive-A-gguf/blob/main/Mistral-7B-v0.1-half-naive-A.Q4_K_S.gguf) | Q4_K_S | 3.86GB |\n| [Mistral-7B-v0.1-half-naive-A.Q4_K.gguf](https://huggingface.co/RichardErkhov/awnr_-_Mistral-7B-v0.1-half-naive-A-gguf/blob/main/Mistral-7B-v0.1-half-naive-A.Q4_K.gguf) | Q4_K | 4.07GB |\n| [Mistral-7B-v0.1-half-naive-A.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/awnr_-_Mistral-7B-v0.1-half-naive-A-gguf/blob/main/Mistral-7B-v0.1-half-naive-A.Q4_K_M.gguf) | Q4_K_M | 4.07GB |\n| [Mistral-7B-v0.1-half-naive-A.Q4_1.gguf](https://huggingface.co/RichardErkhov/awnr_-_Mistral-7B-v0.1-half-naive-A-gguf/blob/main/Mistral-7B-v0.1-half-naive-A.Q4_1.gguf) | Q4_1 | 4.24GB |\n| [Mistral-7B-v0.1-half-naive-A.Q5_0.gguf](https://huggingface.co/RichardErkhov/awnr_-_Mistral-7B-v0.1-half-naive-A-gguf/blob/main/Mistral-7B-v0.1-half-naive-A.Q5_0.gguf) | Q5_0 | 4.65GB |\n| [Mistral-7B-v0.1-half-naive-A.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/awnr_-_Mistral-7B-v0.1-half-naive-A-gguf/blob/main/Mistral-7B-v0.1-half-naive-A.Q5_K_S.gguf) | Q5_K_S | 4.65GB |\n| [Mistral-7B-v0.1-half-naive-A.Q5_K.gguf](https://huggingface.co/RichardErkhov/awnr_-_Mistral-7B-v0.1-half-naive-A-gguf/blob/main/Mistral-7B-v0.1-half-naive-A.Q5_K.gguf) | Q5_K | 4.78GB |\n| [Mistral-7B-v0.1-half-naive-A.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/awnr_-_Mistral-7B-v0.1-half-naive-A-gguf/blob/main/Mistral-7B-v0.1-half-naive-A.Q5_K_M.gguf) | Q5_K_M | 4.78GB |\n| [Mistral-7B-v0.1-half-naive-A.Q5_1.gguf](https://huggingface.co/RichardErkhov/awnr_-_Mistral-7B-v0.1-half-naive-A-gguf/blob/main/Mistral-7B-v0.1-half-naive-A.Q5_1.gguf) | Q5_1 | 5.07GB |\n| [Mistral-7B-v0.1-half-naive-A.Q6_K.gguf](https://huggingface.co/RichardErkhov/awnr_-_Mistral-7B-v0.1-half-naive-A-gguf/blob/main/Mistral-7B-v0.1-half-naive-A.Q6_K.gguf) | Q6_K | 5.53GB |\n| [Mistral-7B-v0.1-half-naive-A.Q8_0.gguf](https://huggingface.co/RichardErkhov/awnr_-_Mistral-7B-v0.1-half-naive-A-gguf/blob/main/Mistral-7B-v0.1-half-naive-A.Q8_0.gguf) | Q8_0 | 7.17GB |\n\n\n\n\nOriginal model description:\n---\nlicense: apache-2.0\n---\n\n# Model Card for Model Mistral-7B-v0.1-half-naive-A\n\nI'm experimenting with the weight matrices in neural networks.\nThis is a clone of `Mistral-7B-v0.1` with some weight matrices replaced.\n\nI'm interested in seeing how the adjustmenets affect performance on existing metrics.\n\n## Model Details\n\nResearch in progress! Demons could come out of your nose if you use this.\n\n### Model Description\n\nA modification of [`mistralai/Mistral-7B-v0.1`](https://huggingface.co/mistralai/Mistral-7B-v0.1).\nThanks to their team for sharing their model.\n\n\n- **Modified by:** Dr. Alex W. Neal Riasanovsky\n- **Model type:** pre-trained\n- **Language(s) (NLP):** English\n- **License:** Apache-2.0\n\n## Bias, Risks, and Limitations\n\nUse your own risk.\nI have no idea what this model's biases and limitations are.\nI just want to see if the benchmark values are similar to those from `Mistral-7B-v0.1`.\nI am setting up a long computational experiment to test some ideas.\n\n\n",
    "related_quantizations": []
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  "tags": [
    "gguf",
    "endpoints_compatible",
    "region:us"
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  "likes": 0,
  "downloads": 233,
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  "last_modified": "2024-09-15T02:09:04.000Z",
  "created_at": "2024-09-14T19:36:46.000Z",
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