richarderkhov/ryanyr_-_gemma-2-2b-it_cot-it_sft-gguf overview

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    "summary": "This model is a fine-tuned version of google/gemma-2-2b-it on an unknown dataset.",
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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\ngemma-2-2b-it_CoT-it_SFT - GGUF\n- Model creator: https://huggingface.co/RyanYr/\n- Original model: https://huggingface.co/RyanYr/gemma-2-2b-it_CoT-it_SFT/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [gemma-2-2b-it_CoT-it_SFT.Q2_K.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_gemma-2-2b-it_CoT-it_SFT-gguf/blob/main/gemma-2-2b-it_CoT-it_SFT.Q2_K.gguf) | Q2_K | 1.15GB |\n| [gemma-2-2b-it_CoT-it_SFT.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_gemma-2-2b-it_CoT-it_SFT-gguf/blob/main/gemma-2-2b-it_CoT-it_SFT.IQ3_XS.gguf) | IQ3_XS | 1.22GB |\n| [gemma-2-2b-it_CoT-it_SFT.IQ3_S.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_gemma-2-2b-it_CoT-it_SFT-gguf/blob/main/gemma-2-2b-it_CoT-it_SFT.IQ3_S.gguf) | IQ3_S | 1.27GB |\n| [gemma-2-2b-it_CoT-it_SFT.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_gemma-2-2b-it_CoT-it_SFT-gguf/blob/main/gemma-2-2b-it_CoT-it_SFT.Q3_K_S.gguf) | Q3_K_S | 1.27GB |\n| [gemma-2-2b-it_CoT-it_SFT.IQ3_M.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_gemma-2-2b-it_CoT-it_SFT-gguf/blob/main/gemma-2-2b-it_CoT-it_SFT.IQ3_M.gguf) | IQ3_M | 1.3GB |\n| [gemma-2-2b-it_CoT-it_SFT.Q3_K.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_gemma-2-2b-it_CoT-it_SFT-gguf/blob/main/gemma-2-2b-it_CoT-it_SFT.Q3_K.gguf) | Q3_K | 1.36GB |\n| [gemma-2-2b-it_CoT-it_SFT.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_gemma-2-2b-it_CoT-it_SFT-gguf/blob/main/gemma-2-2b-it_CoT-it_SFT.Q3_K_M.gguf) | Q3_K_M | 1.36GB |\n| [gemma-2-2b-it_CoT-it_SFT.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_gemma-2-2b-it_CoT-it_SFT-gguf/blob/main/gemma-2-2b-it_CoT-it_SFT.Q3_K_L.gguf) | Q3_K_L | 1.44GB |\n| [gemma-2-2b-it_CoT-it_SFT.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_gemma-2-2b-it_CoT-it_SFT-gguf/blob/main/gemma-2-2b-it_CoT-it_SFT.IQ4_XS.gguf) | IQ4_XS | 1.47GB |\n| [gemma-2-2b-it_CoT-it_SFT.Q4_0.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_gemma-2-2b-it_CoT-it_SFT-gguf/blob/main/gemma-2-2b-it_CoT-it_SFT.Q4_0.gguf) | Q4_0 | 1.52GB |\n| [gemma-2-2b-it_CoT-it_SFT.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_gemma-2-2b-it_CoT-it_SFT-gguf/blob/main/gemma-2-2b-it_CoT-it_SFT.IQ4_NL.gguf) | IQ4_NL | 1.53GB |\n| [gemma-2-2b-it_CoT-it_SFT.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_gemma-2-2b-it_CoT-it_SFT-gguf/blob/main/gemma-2-2b-it_CoT-it_SFT.Q4_K_S.gguf) | Q4_K_S | 1.53GB |\n| [gemma-2-2b-it_CoT-it_SFT.Q4_K.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_gemma-2-2b-it_CoT-it_SFT-gguf/blob/main/gemma-2-2b-it_CoT-it_SFT.Q4_K.gguf) | Q4_K | 1.59GB |\n| [gemma-2-2b-it_CoT-it_SFT.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_gemma-2-2b-it_CoT-it_SFT-gguf/blob/main/gemma-2-2b-it_CoT-it_SFT.Q4_K_M.gguf) | Q4_K_M | 1.59GB |\n| [gemma-2-2b-it_CoT-it_SFT.Q4_1.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_gemma-2-2b-it_CoT-it_SFT-gguf/blob/main/gemma-2-2b-it_CoT-it_SFT.Q4_1.gguf) | Q4_1 | 1.64GB |\n| [gemma-2-2b-it_CoT-it_SFT.Q5_0.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_gemma-2-2b-it_CoT-it_SFT-gguf/blob/main/gemma-2-2b-it_CoT-it_SFT.Q5_0.gguf) | Q5_0 | 1.75GB |\n| [gemma-2-2b-it_CoT-it_SFT.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_gemma-2-2b-it_CoT-it_SFT-gguf/blob/main/gemma-2-2b-it_CoT-it_SFT.Q5_K_S.gguf) | Q5_K_S | 1.75GB |\n| [gemma-2-2b-it_CoT-it_SFT.Q5_K.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_gemma-2-2b-it_CoT-it_SFT-gguf/blob/main/gemma-2-2b-it_CoT-it_SFT.Q5_K.gguf) | Q5_K | 1.79GB |\n| [gemma-2-2b-it_CoT-it_SFT.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_gemma-2-2b-it_CoT-it_SFT-gguf/blob/main/gemma-2-2b-it_CoT-it_SFT.Q5_K_M.gguf) | Q5_K_M | 1.79GB |\n| [gemma-2-2b-it_CoT-it_SFT.Q5_1.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_gemma-2-2b-it_CoT-it_SFT-gguf/blob/main/gemma-2-2b-it_CoT-it_SFT.Q5_1.gguf) | Q5_1 | 1.87GB |\n| [gemma-2-2b-it_CoT-it_SFT.Q6_K.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_gemma-2-2b-it_CoT-it_SFT-gguf/blob/main/gemma-2-2b-it_CoT-it_SFT.Q6_K.gguf) | Q6_K | 2.0GB |\n| [gemma-2-2b-it_CoT-it_SFT.Q8_0.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_gemma-2-2b-it_CoT-it_SFT-gguf/blob/main/gemma-2-2b-it_CoT-it_SFT.Q8_0.gguf) | Q8_0 | 2.59GB |\n\n\n\n\nOriginal model description:\n---\nlibrary_name: transformers\nlicense: gemma\nbase_model: google/gemma-2-2b-it\ntags:\n- trl\n- sft\n- generated_from_trainer\nmodel-index:\n- name: gemma-2-2b-it_CoT-it_SFT\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# gemma-2-2b-it_CoT-it_SFT\n\nThis model is a fine-tuned version of [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it) 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: 2e-06\n- train_batch_size: 1\n- eval_batch_size: 1\n- seed: 42\n- distributed_type: multi-GPU\n- num_devices: 4\n- gradient_accumulation_steps: 64\n- total_train_batch_size: 256\n- total_eval_batch_size: 4\n- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n- lr_scheduler_type: cosine\n- lr_scheduler_warmup_ratio: 0.03\n- num_epochs: 1\n\n### Training results\n\n\n\n### Framework versions\n\n- Transformers 4.44.2\n- Pytorch 2.4.0+cu121\n- Datasets 3.0.0\n- Tokenizers 0.19.1\n\n\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 592,
  "gated": false,
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  "last_modified": "2024-10-03T19:17:18.000Z",
  "created_at": "2024-10-03T15:34:08.000Z",
  "pipeline_tag": "",
  "library_name": ""
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  "author": "RichardErkhov",
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