richarderkhov/omrudra998_-_fifth-gguf overview

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    "summary": "This model is a fine-tuned version of meta-llama/Llama-3.2-1B-Instruct on an unknown dataset.",
    "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\nfifth - GGUF\n- Model creator: https://huggingface.co/omrudra998/\n- Original model: https://huggingface.co/omrudra998/fifth/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [fifth.Q2_K.gguf](https://huggingface.co/RichardErkhov/omrudra998_-_fifth-gguf/blob/main/fifth.Q2_K.gguf) | Q2_K | 0.54GB |\n| [fifth.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/omrudra998_-_fifth-gguf/blob/main/fifth.IQ3_XS.gguf) | IQ3_XS | 0.58GB |\n| [fifth.IQ3_S.gguf](https://huggingface.co/RichardErkhov/omrudra998_-_fifth-gguf/blob/main/fifth.IQ3_S.gguf) | IQ3_S | 0.6GB |\n| [fifth.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/omrudra998_-_fifth-gguf/blob/main/fifth.Q3_K_S.gguf) | Q3_K_S | 0.6GB |\n| [fifth.IQ3_M.gguf](https://huggingface.co/RichardErkhov/omrudra998_-_fifth-gguf/blob/main/fifth.IQ3_M.gguf) | IQ3_M | 0.61GB |\n| [fifth.Q3_K.gguf](https://huggingface.co/RichardErkhov/omrudra998_-_fifth-gguf/blob/main/fifth.Q3_K.gguf) | Q3_K | 0.64GB |\n| [fifth.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/omrudra998_-_fifth-gguf/blob/main/fifth.Q3_K_M.gguf) | Q3_K_M | 0.64GB |\n| [fifth.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/omrudra998_-_fifth-gguf/blob/main/fifth.Q3_K_L.gguf) | Q3_K_L | 0.68GB |\n| [fifth.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/omrudra998_-_fifth-gguf/blob/main/fifth.IQ4_XS.gguf) | IQ4_XS | 0.7GB |\n| [fifth.Q4_0.gguf](https://huggingface.co/RichardErkhov/omrudra998_-_fifth-gguf/blob/main/fifth.Q4_0.gguf) | Q4_0 | 0.72GB |\n| [fifth.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/omrudra998_-_fifth-gguf/blob/main/fifth.IQ4_NL.gguf) | IQ4_NL | 0.72GB |\n| [fifth.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/omrudra998_-_fifth-gguf/blob/main/fifth.Q4_K_S.gguf) | Q4_K_S | 0.72GB |\n| [fifth.Q4_K.gguf](https://huggingface.co/RichardErkhov/omrudra998_-_fifth-gguf/blob/main/fifth.Q4_K.gguf) | Q4_K | 0.75GB |\n| [fifth.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/omrudra998_-_fifth-gguf/blob/main/fifth.Q4_K_M.gguf) | Q4_K_M | 0.75GB |\n| [fifth.Q4_1.gguf](https://huggingface.co/RichardErkhov/omrudra998_-_fifth-gguf/blob/main/fifth.Q4_1.gguf) | Q4_1 | 0.77GB |\n| [fifth.Q5_0.gguf](https://huggingface.co/RichardErkhov/omrudra998_-_fifth-gguf/blob/main/fifth.Q5_0.gguf) | Q5_0 | 0.83GB |\n| [fifth.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/omrudra998_-_fifth-gguf/blob/main/fifth.Q5_K_S.gguf) | Q5_K_S | 0.83GB |\n| [fifth.Q5_K.gguf](https://huggingface.co/RichardErkhov/omrudra998_-_fifth-gguf/blob/main/fifth.Q5_K.gguf) | Q5_K | 0.85GB |\n| [fifth.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/omrudra998_-_fifth-gguf/blob/main/fifth.Q5_K_M.gguf) | Q5_K_M | 0.85GB |\n| [fifth.Q5_1.gguf](https://huggingface.co/RichardErkhov/omrudra998_-_fifth-gguf/blob/main/fifth.Q5_1.gguf) | Q5_1 | 0.89GB |\n| [fifth.Q6_K.gguf](https://huggingface.co/RichardErkhov/omrudra998_-_fifth-gguf/blob/main/fifth.Q6_K.gguf) | Q6_K | 0.95GB |\n| [fifth.Q8_0.gguf](https://huggingface.co/RichardErkhov/omrudra998_-_fifth-gguf/blob/main/fifth.Q8_0.gguf) | Q8_0 | 1.23GB |\n\n\n\n\nOriginal model description:\n---\nlibrary_name: transformers\nlicense: llama3.2\nbase_model: meta-llama/Llama-3.2-1B-Instruct\ntags:\n- generated_from_trainer\nmodel-index:\n- name: fifth\n  results: []\n---\n\n<!-- This model card has been generated automatically according to the information the Trainer had access to. You\nshould probably proofread and complete it, then remove this comment. -->\n\n# fifth\n\nThis model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on an unknown dataset.\n\n## Model description\n\nMore information needed\n\n## Intended uses & limitations\n\nMore information needed\n\n## Training and evaluation data\n\nMore information needed\n\n## Training procedure\n\n### Training hyperparameters\n\nThe following hyperparameters were used during training:\n- learning_rate: 5e-05\n- train_batch_size: 4\n- eval_batch_size: 8\n- seed: 42\n- gradient_accumulation_steps: 8\n- total_train_batch_size: 32\n- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments\n- lr_scheduler_type: linear\n- lr_scheduler_warmup_steps: 500\n- num_epochs: 60\n- mixed_precision_training: Native AMP\n\n### Training results\n\n\n\n### Framework versions\n\n- Transformers 4.46.2\n- Pytorch 2.5.0+cu121\n- Datasets 3.1.0\n- Tokenizers 0.20.3\n\n\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 129,
  "gated": false,
  "private": false,
  "last_modified": "2025-03-21T15:06:21.000Z",
  "created_at": "2025-03-21T14:44:04.000Z",
  "pipeline_tag": "",
  "library_name": ""
}

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  "id": "RichardErkhov/omrudra998_-_fifth-gguf",
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  "sha": "5972e4476dd8e6265b48f43dd51a56c9f57daafb",
  "createdAt": "2025-03-21T14:44:04.000Z",
  "lastModified": "2025-03-21T15:06:21.000Z",
  "author": "RichardErkhov",
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