richarderkhov/elvinmarkmv_-_gpt2-alpaca-finetuned-gguf overview

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    "summary": "Quantization made by Richard Erkhov. Github Discord Request more models gpt2-alpaca-finetuned - GGUF | Name | Quant method | Size | | ---- | ---- | ---- | | gpt2-alpaca-finetuned.Q2_K.gguf | Q2_K | 0.08GB | | gpt2-alpaca-finetuned.IQ3_XS.gguf | IQ3_XS | 0.08GB | | gpt2-alpaca-finetuned.IQ3_S.gguf | IQ3_S | 0.08GB | | gpt2-alpaca-finetuned.Q3_K_S.gguf | Q3_K_S | 0.08GB | | gpt2-alpaca-finetuned.IQ3_M.gguf | IQ3_M | 0.09GB | | gpt2-alpaca-finetuned.Q3_K.gguf | Q3_K | 0.09GB | | gpt2-alpaca-finetuned.Q3_K_M.gguf | Q3_K_M | 0.09GB | | gpt2-alpaca-finetuned.Q3_K_L.gguf | Q3_K_L | 0.1GB | | gpt2-alpaca-finetuned.IQ4_XS.gguf | IQ4_XS | 0.1GB | | gpt2-alpaca-finetuned.Q4_0.gguf | Q4_0 | 0.1GB | | gpt2-alpaca-finetuned.IQ4_NL.gguf | IQ4_NL | 0.1GB | | gpt2-alpaca-finetuned.Q4_K_S.gguf | Q4_K_S | 0.1GB | | gpt2-alpaca-finetuned.Q4_K.gguf | Q4_K | 0.11GB | | gpt2-alpaca-finetuned.Q4_K_M.gguf | Q4_K_M | 0.11GB | | gpt2-alpaca-finetuned.Q4_1.gguf | Q4_1 | 0.11GB | | gpt2-alpaca-finetuned.Q5_0.gguf | Q5_0 | 0.11GB | | gpt2-alpaca-finetuned.Q5_K_S.gguf | Q5_K_S | 0.11GB | | gpt2-alpaca-finetuned.Q5_K.gguf | Q5_K | 0.12GB | | gpt2-alpaca-finetuned.Q5_K_M.gguf | Q5_K_M | 0.12GB | | gpt2-alpaca-finetuned.Q5_1.gguf | Q5_1 | 0.12GB | | gpt2-alpaca-finetuned.Q6_K.gguf | Q6_K | 0.13GB | | gpt2-alpaca-finetuned.Q8_0.gguf | Q8_0 | 0.17GB | Original model description: --- datasets: language: metrics: base_model: openai-community/gpt2 pipeline_tag: text-generation library_name: transformers --- This model is a fine-tuned version of gpt2 on an tatsu-lab/alpaca dataset. It achieves the following results on the evaluation set: Loss: 1.826895",
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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\ngpt2-alpaca-finetuned - GGUF\n- Model creator: https://huggingface.co/elvinmarkmv/\n- Original model: https://huggingface.co/elvinmarkmv/gpt2-alpaca-finetuned/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [gpt2-alpaca-finetuned.Q2_K.gguf](https://huggingface.co/RichardErkhov/elvinmarkmv_-_gpt2-alpaca-finetuned-gguf/blob/main/gpt2-alpaca-finetuned.Q2_K.gguf) | Q2_K | 0.08GB |\n| [gpt2-alpaca-finetuned.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/elvinmarkmv_-_gpt2-alpaca-finetuned-gguf/blob/main/gpt2-alpaca-finetuned.IQ3_XS.gguf) | IQ3_XS | 0.08GB |\n| [gpt2-alpaca-finetuned.IQ3_S.gguf](https://huggingface.co/RichardErkhov/elvinmarkmv_-_gpt2-alpaca-finetuned-gguf/blob/main/gpt2-alpaca-finetuned.IQ3_S.gguf) | IQ3_S | 0.08GB |\n| [gpt2-alpaca-finetuned.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/elvinmarkmv_-_gpt2-alpaca-finetuned-gguf/blob/main/gpt2-alpaca-finetuned.Q3_K_S.gguf) | Q3_K_S | 0.08GB |\n| [gpt2-alpaca-finetuned.IQ3_M.gguf](https://huggingface.co/RichardErkhov/elvinmarkmv_-_gpt2-alpaca-finetuned-gguf/blob/main/gpt2-alpaca-finetuned.IQ3_M.gguf) | IQ3_M | 0.09GB |\n| [gpt2-alpaca-finetuned.Q3_K.gguf](https://huggingface.co/RichardErkhov/elvinmarkmv_-_gpt2-alpaca-finetuned-gguf/blob/main/gpt2-alpaca-finetuned.Q3_K.gguf) | Q3_K | 0.09GB |\n| [gpt2-alpaca-finetuned.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/elvinmarkmv_-_gpt2-alpaca-finetuned-gguf/blob/main/gpt2-alpaca-finetuned.Q3_K_M.gguf) | Q3_K_M | 0.09GB |\n| [gpt2-alpaca-finetuned.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/elvinmarkmv_-_gpt2-alpaca-finetuned-gguf/blob/main/gpt2-alpaca-finetuned.Q3_K_L.gguf) | Q3_K_L | 0.1GB |\n| [gpt2-alpaca-finetuned.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/elvinmarkmv_-_gpt2-alpaca-finetuned-gguf/blob/main/gpt2-alpaca-finetuned.IQ4_XS.gguf) | IQ4_XS | 0.1GB |\n| [gpt2-alpaca-finetuned.Q4_0.gguf](https://huggingface.co/RichardErkhov/elvinmarkmv_-_gpt2-alpaca-finetuned-gguf/blob/main/gpt2-alpaca-finetuned.Q4_0.gguf) | Q4_0 | 0.1GB |\n| [gpt2-alpaca-finetuned.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/elvinmarkmv_-_gpt2-alpaca-finetuned-gguf/blob/main/gpt2-alpaca-finetuned.IQ4_NL.gguf) | IQ4_NL | 0.1GB |\n| [gpt2-alpaca-finetuned.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/elvinmarkmv_-_gpt2-alpaca-finetuned-gguf/blob/main/gpt2-alpaca-finetuned.Q4_K_S.gguf) | Q4_K_S | 0.1GB |\n| [gpt2-alpaca-finetuned.Q4_K.gguf](https://huggingface.co/RichardErkhov/elvinmarkmv_-_gpt2-alpaca-finetuned-gguf/blob/main/gpt2-alpaca-finetuned.Q4_K.gguf) | Q4_K | 0.11GB |\n| [gpt2-alpaca-finetuned.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/elvinmarkmv_-_gpt2-alpaca-finetuned-gguf/blob/main/gpt2-alpaca-finetuned.Q4_K_M.gguf) | Q4_K_M | 0.11GB |\n| [gpt2-alpaca-finetuned.Q4_1.gguf](https://huggingface.co/RichardErkhov/elvinmarkmv_-_gpt2-alpaca-finetuned-gguf/blob/main/gpt2-alpaca-finetuned.Q4_1.gguf) | Q4_1 | 0.11GB |\n| [gpt2-alpaca-finetuned.Q5_0.gguf](https://huggingface.co/RichardErkhov/elvinmarkmv_-_gpt2-alpaca-finetuned-gguf/blob/main/gpt2-alpaca-finetuned.Q5_0.gguf) | Q5_0 | 0.11GB |\n| [gpt2-alpaca-finetuned.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/elvinmarkmv_-_gpt2-alpaca-finetuned-gguf/blob/main/gpt2-alpaca-finetuned.Q5_K_S.gguf) | Q5_K_S | 0.11GB |\n| [gpt2-alpaca-finetuned.Q5_K.gguf](https://huggingface.co/RichardErkhov/elvinmarkmv_-_gpt2-alpaca-finetuned-gguf/blob/main/gpt2-alpaca-finetuned.Q5_K.gguf) | Q5_K | 0.12GB |\n| [gpt2-alpaca-finetuned.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/elvinmarkmv_-_gpt2-alpaca-finetuned-gguf/blob/main/gpt2-alpaca-finetuned.Q5_K_M.gguf) | Q5_K_M | 0.12GB |\n| [gpt2-alpaca-finetuned.Q5_1.gguf](https://huggingface.co/RichardErkhov/elvinmarkmv_-_gpt2-alpaca-finetuned-gguf/blob/main/gpt2-alpaca-finetuned.Q5_1.gguf) | Q5_1 | 0.12GB |\n| [gpt2-alpaca-finetuned.Q6_K.gguf](https://huggingface.co/RichardErkhov/elvinmarkmv_-_gpt2-alpaca-finetuned-gguf/blob/main/gpt2-alpaca-finetuned.Q6_K.gguf) | Q6_K | 0.13GB |\n| [gpt2-alpaca-finetuned.Q8_0.gguf](https://huggingface.co/RichardErkhov/elvinmarkmv_-_gpt2-alpaca-finetuned-gguf/blob/main/gpt2-alpaca-finetuned.Q8_0.gguf) | Q8_0 | 0.17GB |\n\n\n\n\nOriginal model description:\n---\ndatasets:\n- tatsu-lab/alpaca\nlanguage:\n- en\nmetrics:\n- accuracy\nbase_model: openai-community/gpt2\npipeline_tag: text-generation\nlibrary_name: transformers\n---\nThis model is a fine-tuned version of gpt2 on an [tatsu-lab/alpaca](https://huggingface.co/datasets/tatsu-lab/alpaca) dataset. It achieves the following results on the evaluation set:\n\nLoss: 1.826895\n\n\n",
    "related_quantizations": []
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  "tags": [
    "gguf",
    "endpoints_compatible",
    "region:us"
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  "last_modified": "2024-10-04T17:14:30.000Z",
  "created_at": "2024-10-04T17:06:47.000Z",
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