richarderkhov/mlfoundations-dev_-_oh-mistral-bs4096_lr2_00e-06_schedulerconstant_warmup1_00e-01_minlr-gguf overview

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    "summary": "This model is a fine-tuned version of mistralai/Mistral-7B-v0.3 on the mlfoundations-dev/oh-dcft-v3.1-gpt-4o-mini dataset.",
    "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\noh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr - GGUF\n- Model creator: https://huggingface.co/mlfoundations-dev/\n- Original model: https://huggingface.co/mlfoundations-dev/oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.Q2_K.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr-gguf/blob/main/oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.Q2_K.gguf) | Q2_K | 2.54GB |\n| [oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr-gguf/blob/main/oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.IQ3_XS.gguf) | IQ3_XS | 2.82GB |\n| [oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.IQ3_S.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr-gguf/blob/main/oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.IQ3_S.gguf) | IQ3_S | 2.97GB |\n| [oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr-gguf/blob/main/oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.Q3_K_S.gguf) | Q3_K_S | 2.95GB |\n| [oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.IQ3_M.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr-gguf/blob/main/oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.IQ3_M.gguf) | IQ3_M | 3.06GB |\n| [oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.Q3_K.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr-gguf/blob/main/oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.Q3_K.gguf) | Q3_K | 3.28GB |\n| [oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr-gguf/blob/main/oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.Q3_K_M.gguf) | Q3_K_M | 3.28GB |\n| [oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr-gguf/blob/main/oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.Q3_K_L.gguf) | Q3_K_L | 3.56GB |\n| [oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr-gguf/blob/main/oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.IQ4_XS.gguf) | IQ4_XS | 3.68GB |\n| [oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.Q4_0.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr-gguf/blob/main/oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.Q4_0.gguf) | Q4_0 | 3.83GB |\n| [oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr-gguf/blob/main/oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.IQ4_NL.gguf) | IQ4_NL | 3.87GB |\n| [oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr-gguf/blob/main/oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.Q4_K_S.gguf) | Q4_K_S | 3.86GB |\n| [oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.Q4_K.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr-gguf/blob/main/oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.Q4_K.gguf) | Q4_K | 4.07GB |\n| [oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr-gguf/blob/main/oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.Q4_K_M.gguf) | Q4_K_M | 4.07GB |\n| [oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.Q4_1.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr-gguf/blob/main/oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.Q4_1.gguf) | Q4_1 | 4.24GB |\n| [oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.Q5_0.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr-gguf/blob/main/oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.Q5_0.gguf) | Q5_0 | 4.66GB |\n| [oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr-gguf/blob/main/oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.Q5_K_S.gguf) | Q5_K_S | 4.66GB |\n| [oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.Q5_K.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr-gguf/blob/main/oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.Q5_K.gguf) | Q5_K | 4.78GB |\n| [oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr-gguf/blob/main/oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.Q5_K_M.gguf) | Q5_K_M | 4.78GB |\n| [oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.Q5_1.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr-gguf/blob/main/oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.Q5_1.gguf) | Q5_1 | 5.07GB |\n| [oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.Q6_K.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr-gguf/blob/main/oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.Q6_K.gguf) | Q6_K | 5.54GB |\n| [oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.Q8_0.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr-gguf/blob/main/oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr.Q8_0.gguf) | Q8_0 | 7.17GB |\n\n\n\n\nOriginal model description:\n---\nlibrary_name: transformers\nlicense: other\nbase_model: mistralai/Mistral-7B-v0.3\ntags:\n- llama-factory\n- full\n- generated_from_trainer\nmodel-index:\n- name: oh-mistral-bs4096_lr2.00E-06_schedulerconstant_warmup1.00E-01_minlr\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# oh-mistral-bs4096_lr2.00E-06_schedulerconstant_warmup1.00E-01_minlr\n\nThis model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3) on the mlfoundations-dev/oh-dcft-v3.1-gpt-4o-mini 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: 8\n- eval_batch_size: 8\n- seed: 42\n- distributed_type: multi-GPU\n- num_devices: 256\n- gradient_accumulation_steps: 2\n- total_train_batch_size: 4096\n- total_eval_batch_size: 2048\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: constant\n- lr_scheduler_warmup_ratio: 0.1\n- num_epochs: 3.0\n\n### Training results\n\n\n\n### Framework versions\n\n- Transformers 4.46.1\n- Pytorch 2.5.0a0+b465a5843b.nv24.09\n- Datasets 3.0.2\n- Tokenizers 0.20.3\n\n\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 192,
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  "private": false,
  "last_modified": "2025-04-20T05:47:02.000Z",
  "created_at": "2025-04-20T03:02:25.000Z",
  "pipeline_tag": "",
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