richarderkhov/tsavage68_-_ie_m2_200steps_1e7rate_sft-gguf overview

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  "card_data": {
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    "summary": "This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset. It achieves the following results on the evaluation set:",
    "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\nIE_M2_200steps_1e7rate_SFT - GGUF\n- Model creator: https://huggingface.co/tsavage68/\n- Original model: https://huggingface.co/tsavage68/IE_M2_200steps_1e7rate_SFT/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [IE_M2_200steps_1e7rate_SFT.Q2_K.gguf](https://huggingface.co/RichardErkhov/tsavage68_-_IE_M2_200steps_1e7rate_SFT-gguf/blob/main/IE_M2_200steps_1e7rate_SFT.Q2_K.gguf) | Q2_K | 2.53GB |\n| [IE_M2_200steps_1e7rate_SFT.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/tsavage68_-_IE_M2_200steps_1e7rate_SFT-gguf/blob/main/IE_M2_200steps_1e7rate_SFT.IQ3_XS.gguf) | IQ3_XS | 2.81GB |\n| [IE_M2_200steps_1e7rate_SFT.IQ3_S.gguf](https://huggingface.co/RichardErkhov/tsavage68_-_IE_M2_200steps_1e7rate_SFT-gguf/blob/main/IE_M2_200steps_1e7rate_SFT.IQ3_S.gguf) | IQ3_S | 2.96GB |\n| [IE_M2_200steps_1e7rate_SFT.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/tsavage68_-_IE_M2_200steps_1e7rate_SFT-gguf/blob/main/IE_M2_200steps_1e7rate_SFT.Q3_K_S.gguf) | Q3_K_S | 2.95GB |\n| [IE_M2_200steps_1e7rate_SFT.IQ3_M.gguf](https://huggingface.co/RichardErkhov/tsavage68_-_IE_M2_200steps_1e7rate_SFT-gguf/blob/main/IE_M2_200steps_1e7rate_SFT.IQ3_M.gguf) | IQ3_M | 3.06GB |\n| [IE_M2_200steps_1e7rate_SFT.Q3_K.gguf](https://huggingface.co/RichardErkhov/tsavage68_-_IE_M2_200steps_1e7rate_SFT-gguf/blob/main/IE_M2_200steps_1e7rate_SFT.Q3_K.gguf) | Q3_K | 3.28GB |\n| [IE_M2_200steps_1e7rate_SFT.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/tsavage68_-_IE_M2_200steps_1e7rate_SFT-gguf/blob/main/IE_M2_200steps_1e7rate_SFT.Q3_K_M.gguf) | Q3_K_M | 3.28GB |\n| [IE_M2_200steps_1e7rate_SFT.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/tsavage68_-_IE_M2_200steps_1e7rate_SFT-gguf/blob/main/IE_M2_200steps_1e7rate_SFT.Q3_K_L.gguf) | Q3_K_L | 3.56GB |\n| [IE_M2_200steps_1e7rate_SFT.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/tsavage68_-_IE_M2_200steps_1e7rate_SFT-gguf/blob/main/IE_M2_200steps_1e7rate_SFT.IQ4_XS.gguf) | IQ4_XS | 3.67GB |\n| [IE_M2_200steps_1e7rate_SFT.Q4_0.gguf](https://huggingface.co/RichardErkhov/tsavage68_-_IE_M2_200steps_1e7rate_SFT-gguf/blob/main/IE_M2_200steps_1e7rate_SFT.Q4_0.gguf) | Q4_0 | 3.83GB |\n| [IE_M2_200steps_1e7rate_SFT.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/tsavage68_-_IE_M2_200steps_1e7rate_SFT-gguf/blob/main/IE_M2_200steps_1e7rate_SFT.IQ4_NL.gguf) | IQ4_NL | 3.87GB |\n| [IE_M2_200steps_1e7rate_SFT.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/tsavage68_-_IE_M2_200steps_1e7rate_SFT-gguf/blob/main/IE_M2_200steps_1e7rate_SFT.Q4_K_S.gguf) | Q4_K_S | 3.86GB |\n| [IE_M2_200steps_1e7rate_SFT.Q4_K.gguf](https://huggingface.co/RichardErkhov/tsavage68_-_IE_M2_200steps_1e7rate_SFT-gguf/blob/main/IE_M2_200steps_1e7rate_SFT.Q4_K.gguf) | Q4_K | 4.07GB |\n| [IE_M2_200steps_1e7rate_SFT.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/tsavage68_-_IE_M2_200steps_1e7rate_SFT-gguf/blob/main/IE_M2_200steps_1e7rate_SFT.Q4_K_M.gguf) | Q4_K_M | 4.07GB |\n| [IE_M2_200steps_1e7rate_SFT.Q4_1.gguf](https://huggingface.co/RichardErkhov/tsavage68_-_IE_M2_200steps_1e7rate_SFT-gguf/blob/main/IE_M2_200steps_1e7rate_SFT.Q4_1.gguf) | Q4_1 | 4.24GB |\n| [IE_M2_200steps_1e7rate_SFT.Q5_0.gguf](https://huggingface.co/RichardErkhov/tsavage68_-_IE_M2_200steps_1e7rate_SFT-gguf/blob/main/IE_M2_200steps_1e7rate_SFT.Q5_0.gguf) | Q5_0 | 4.65GB |\n| [IE_M2_200steps_1e7rate_SFT.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/tsavage68_-_IE_M2_200steps_1e7rate_SFT-gguf/blob/main/IE_M2_200steps_1e7rate_SFT.Q5_K_S.gguf) | Q5_K_S | 4.65GB |\n| [IE_M2_200steps_1e7rate_SFT.Q5_K.gguf](https://huggingface.co/RichardErkhov/tsavage68_-_IE_M2_200steps_1e7rate_SFT-gguf/blob/main/IE_M2_200steps_1e7rate_SFT.Q5_K.gguf) | Q5_K | 4.78GB |\n| [IE_M2_200steps_1e7rate_SFT.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/tsavage68_-_IE_M2_200steps_1e7rate_SFT-gguf/blob/main/IE_M2_200steps_1e7rate_SFT.Q5_K_M.gguf) | Q5_K_M | 4.78GB |\n| [IE_M2_200steps_1e7rate_SFT.Q5_1.gguf](https://huggingface.co/RichardErkhov/tsavage68_-_IE_M2_200steps_1e7rate_SFT-gguf/blob/main/IE_M2_200steps_1e7rate_SFT.Q5_1.gguf) | Q5_1 | 5.07GB |\n| [IE_M2_200steps_1e7rate_SFT.Q6_K.gguf](https://huggingface.co/RichardErkhov/tsavage68_-_IE_M2_200steps_1e7rate_SFT-gguf/blob/main/IE_M2_200steps_1e7rate_SFT.Q6_K.gguf) | Q6_K | 5.53GB |\n| [IE_M2_200steps_1e7rate_SFT.Q8_0.gguf](https://huggingface.co/RichardErkhov/tsavage68_-_IE_M2_200steps_1e7rate_SFT-gguf/blob/main/IE_M2_200steps_1e7rate_SFT.Q8_0.gguf) | Q8_0 | 7.17GB |\n\n\n\n\nOriginal model description:\n---\nlibrary_name: transformers\nlicense: apache-2.0\nbase_model: mistralai/Mistral-7B-Instruct-v0.2\ntags:\n- trl\n- sft\n- generated_from_trainer\nmodel-index:\n- name: IE_M2_200steps_1e7rate_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# IE_M2_200steps_1e7rate_SFT\n\nThis model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 1.3388\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: 1e-07\n- train_batch_size: 2\n- eval_batch_size: 1\n- seed: 42\n- gradient_accumulation_steps: 2\n- total_train_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_steps: 100\n- training_steps: 200\n\n### Training results\n\n| Training Loss | Epoch | Step | Validation Loss |\n|:-------------:|:-----:|:----:|:---------------:|\n| 1.8404        | 0.4   | 50   | 1.8454          |\n| 1.6261        | 0.8   | 100  | 1.5552          |\n| 1.4502        | 1.2   | 150  | 1.3437          |\n| 1.3769        | 1.6   | 200  | 1.3388          |\n\n\n### Framework versions\n\n- Transformers 4.44.2\n- Pytorch 2.0.0+cu117\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": 174,
  "gated": false,
  "private": false,
  "last_modified": "2025-04-10T07:29:04.000Z",
  "created_at": "2025-04-10T03:44:48.000Z",
  "pipeline_tag": "",
  "library_name": ""
}

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  "id": "RichardErkhov/tsavage68_-_IE_M2_200steps_1e7rate_SFT-gguf",
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  "createdAt": "2025-04-10T03:44:48.000Z",
  "lastModified": "2025-04-10T07:29:04.000Z",
  "author": "RichardErkhov",
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