richarderkhov/blueapple8259_-_tinyalpaca-v0.1-gguf overview

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    "summary": "Quantization made by Richard Erkhov. Github Discord Request more models TinyAlpaca-v0.1 - GGUF | Name | Quant method | Size | | ---- | ---- | ---- | | TinyAlpaca-v0.1.Q2_K.gguf | Q2_K | 0.4GB | | TinyAlpaca-v0.1.IQ3_XS.gguf | IQ3_XS | 0.44GB | | TinyAlpaca-v0.1.IQ3_S.gguf | IQ3_S | 0.47GB | | TinyAlpaca-v0.1.Q3_K_S.gguf | Q3_K_S | 0.47GB | | TinyAlpaca-v0.1.IQ3_M.gguf | IQ3_M | 0.48GB | | TinyAlpaca-v0.1.Q3_K.gguf | Q3_K | 0.51GB | | TinyAlpaca-v0.1.Q3_K_M.gguf | Q3_K_M | 0.51GB | | TinyAlpaca-v0.1.Q3_K_L.gguf | Q3_K_L | 0.55GB | | TinyAlpaca-v0.1.IQ4_XS.gguf | IQ4_XS | 0.57GB | | TinyAlpaca-v0.1.Q4_0.gguf | Q4_0 | 0.59GB | | TinyAlpaca-v0.1.IQ4_NL.gguf | IQ4_NL | 0.6GB | | TinyAlpaca-v0.1.Q4_K_S.gguf | Q4_K_S | 0.6GB | | TinyAlpaca-v0.1.Q4_K.gguf | Q4_K | 0.62GB | | TinyAlpaca-v0.1.Q4_K_M.gguf | Q4_K_M | 0.62GB | | TinyAlpaca-v0.1.Q4_1.gguf | Q4_1 | 0.65GB | | TinyAlpaca-v0.1.Q5_0.gguf | Q5_0 | 0.71GB | | TinyAlpaca-v0.1.Q5_K_S.gguf | Q5_K_S | 0.71GB | | TinyAlpaca-v0.1.Q5_K.gguf | Q5_K | 0.73GB | | TinyAlpaca-v0.1.Q5_K_M.gguf | Q5_K_M | 0.73GB | | TinyAlpaca-v0.1.Q5_1.gguf | Q5_1 | 0.77GB | | TinyAlpaca-v0.1.Q6_K.gguf | Q6_K | 0.84GB | | TinyAlpaca-v0.1.Q8_0.gguf | Q8_0 | 1.09GB | Original model description: --- license: mit datasets: --- This model is a TinyLlama model fine-tuned with the yahma/alpaca-cleaned dataset. prompt: `` Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response: ` ` Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Input: {input} ### Response: ``",
    "quick_links": [],
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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\nTinyAlpaca-v0.1 - GGUF\n- Model creator: https://huggingface.co/blueapple8259/\n- Original model: https://huggingface.co/blueapple8259/TinyAlpaca-v0.1/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [TinyAlpaca-v0.1.Q2_K.gguf](https://huggingface.co/RichardErkhov/blueapple8259_-_TinyAlpaca-v0.1-gguf/blob/main/TinyAlpaca-v0.1.Q2_K.gguf) | Q2_K | 0.4GB |\n| [TinyAlpaca-v0.1.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/blueapple8259_-_TinyAlpaca-v0.1-gguf/blob/main/TinyAlpaca-v0.1.IQ3_XS.gguf) | IQ3_XS | 0.44GB |\n| [TinyAlpaca-v0.1.IQ3_S.gguf](https://huggingface.co/RichardErkhov/blueapple8259_-_TinyAlpaca-v0.1-gguf/blob/main/TinyAlpaca-v0.1.IQ3_S.gguf) | IQ3_S | 0.47GB |\n| [TinyAlpaca-v0.1.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/blueapple8259_-_TinyAlpaca-v0.1-gguf/blob/main/TinyAlpaca-v0.1.Q3_K_S.gguf) | Q3_K_S | 0.47GB |\n| [TinyAlpaca-v0.1.IQ3_M.gguf](https://huggingface.co/RichardErkhov/blueapple8259_-_TinyAlpaca-v0.1-gguf/blob/main/TinyAlpaca-v0.1.IQ3_M.gguf) | IQ3_M | 0.48GB |\n| [TinyAlpaca-v0.1.Q3_K.gguf](https://huggingface.co/RichardErkhov/blueapple8259_-_TinyAlpaca-v0.1-gguf/blob/main/TinyAlpaca-v0.1.Q3_K.gguf) | Q3_K | 0.51GB |\n| [TinyAlpaca-v0.1.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/blueapple8259_-_TinyAlpaca-v0.1-gguf/blob/main/TinyAlpaca-v0.1.Q3_K_M.gguf) | Q3_K_M | 0.51GB |\n| [TinyAlpaca-v0.1.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/blueapple8259_-_TinyAlpaca-v0.1-gguf/blob/main/TinyAlpaca-v0.1.Q3_K_L.gguf) | Q3_K_L | 0.55GB |\n| [TinyAlpaca-v0.1.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/blueapple8259_-_TinyAlpaca-v0.1-gguf/blob/main/TinyAlpaca-v0.1.IQ4_XS.gguf) | IQ4_XS | 0.57GB |\n| [TinyAlpaca-v0.1.Q4_0.gguf](https://huggingface.co/RichardErkhov/blueapple8259_-_TinyAlpaca-v0.1-gguf/blob/main/TinyAlpaca-v0.1.Q4_0.gguf) | Q4_0 | 0.59GB |\n| [TinyAlpaca-v0.1.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/blueapple8259_-_TinyAlpaca-v0.1-gguf/blob/main/TinyAlpaca-v0.1.IQ4_NL.gguf) | IQ4_NL | 0.6GB |\n| [TinyAlpaca-v0.1.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/blueapple8259_-_TinyAlpaca-v0.1-gguf/blob/main/TinyAlpaca-v0.1.Q4_K_S.gguf) | Q4_K_S | 0.6GB |\n| [TinyAlpaca-v0.1.Q4_K.gguf](https://huggingface.co/RichardErkhov/blueapple8259_-_TinyAlpaca-v0.1-gguf/blob/main/TinyAlpaca-v0.1.Q4_K.gguf) | Q4_K | 0.62GB |\n| [TinyAlpaca-v0.1.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/blueapple8259_-_TinyAlpaca-v0.1-gguf/blob/main/TinyAlpaca-v0.1.Q4_K_M.gguf) | Q4_K_M | 0.62GB |\n| [TinyAlpaca-v0.1.Q4_1.gguf](https://huggingface.co/RichardErkhov/blueapple8259_-_TinyAlpaca-v0.1-gguf/blob/main/TinyAlpaca-v0.1.Q4_1.gguf) | Q4_1 | 0.65GB |\n| [TinyAlpaca-v0.1.Q5_0.gguf](https://huggingface.co/RichardErkhov/blueapple8259_-_TinyAlpaca-v0.1-gguf/blob/main/TinyAlpaca-v0.1.Q5_0.gguf) | Q5_0 | 0.71GB |\n| [TinyAlpaca-v0.1.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/blueapple8259_-_TinyAlpaca-v0.1-gguf/blob/main/TinyAlpaca-v0.1.Q5_K_S.gguf) | Q5_K_S | 0.71GB |\n| [TinyAlpaca-v0.1.Q5_K.gguf](https://huggingface.co/RichardErkhov/blueapple8259_-_TinyAlpaca-v0.1-gguf/blob/main/TinyAlpaca-v0.1.Q5_K.gguf) | Q5_K | 0.73GB |\n| [TinyAlpaca-v0.1.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/blueapple8259_-_TinyAlpaca-v0.1-gguf/blob/main/TinyAlpaca-v0.1.Q5_K_M.gguf) | Q5_K_M | 0.73GB |\n| [TinyAlpaca-v0.1.Q5_1.gguf](https://huggingface.co/RichardErkhov/blueapple8259_-_TinyAlpaca-v0.1-gguf/blob/main/TinyAlpaca-v0.1.Q5_1.gguf) | Q5_1 | 0.77GB |\n| [TinyAlpaca-v0.1.Q6_K.gguf](https://huggingface.co/RichardErkhov/blueapple8259_-_TinyAlpaca-v0.1-gguf/blob/main/TinyAlpaca-v0.1.Q6_K.gguf) | Q6_K | 0.84GB |\n| [TinyAlpaca-v0.1.Q8_0.gguf](https://huggingface.co/RichardErkhov/blueapple8259_-_TinyAlpaca-v0.1-gguf/blob/main/TinyAlpaca-v0.1.Q8_0.gguf) | Q8_0 | 1.09GB |\n\n\n\n\nOriginal model description:\n---\nlicense: mit\ndatasets:\n- yahma/alpaca-cleaned\n---\n\nThis model is a [TinyLlama](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-715k-1.5T) model fine-tuned with the [yahma/alpaca-cleaned](https://huggingface.co/datasets/yahma/alpaca-cleaned) dataset.\n\nprompt:\n\n```\nBelow is an instruction that describes a task. Write a response that appropriately completes the request.\n\n### Instruction:\n{prompt}\n\n### Response:\n```\n```\nBelow is an instruction that describes a task. Write a response that appropriately completes the request.\n\n### Instruction:\n{prompt}\n\n### Input:\n{input}\n\n### Response:\n```\n\n\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "endpoints_compatible",
    "region:us"
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  "last_modified": "2024-08-27T12:20:03.000Z",
  "created_at": "2024-08-27T11:45:54.000Z",
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