richarderkhov/cutelemonlili_-_internlm2-math-plus-1_8b_math_training_qwen2.5-32b-instruct-gguf overview

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    "summary": "This model is a fine-tuned version of internlm/internlm2-math-plus-1_8b on the MATH_training_Qwen2.5-32B-Instruct 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\ninternlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct - GGUF\n- Model creator: https://huggingface.co/cutelemonlili/\n- Original model: https://huggingface.co/cutelemonlili/internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.Q2_K.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.Q2_K.gguf) | Q2_K | 0.72GB |\n| [internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.IQ3_XS.gguf) | IQ3_XS | 0.79GB |\n| [internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.IQ3_S.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.IQ3_S.gguf) | IQ3_S | 0.83GB |\n| [internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.Q3_K_S.gguf) | Q3_K_S | 0.83GB |\n| [internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.IQ3_M.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.IQ3_M.gguf) | IQ3_M | 0.85GB |\n| [internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.Q3_K.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.Q3_K.gguf) | Q3_K | 0.9GB |\n| [internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.Q3_K_M.gguf) | Q3_K_M | 0.9GB |\n| [internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.Q3_K_L.gguf) | Q3_K_L | 0.96GB |\n| [internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.IQ4_XS.gguf) | IQ4_XS | 1.0GB |\n| [internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.Q4_0.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.Q4_0.gguf) | Q4_0 | 1.04GB |\n| [internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.IQ4_NL.gguf) | IQ4_NL | 1.04GB |\n| [internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.Q4_K_S.gguf) | Q4_K_S | 1.04GB |\n| [internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.Q4_K.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.Q4_K.gguf) | Q4_K | 1.09GB |\n| [internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.Q4_K_M.gguf) | Q4_K_M | 1.09GB |\n| [internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.Q4_1.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.Q4_1.gguf) | Q4_1 | 1.14GB |\n| [internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.Q5_0.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.Q5_0.gguf) | Q5_0 | 1.24GB |\n| [internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.Q5_K_S.gguf) | Q5_K_S | 1.24GB |\n| [internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.Q5_K.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.Q5_K.gguf) | Q5_K | 1.26GB |\n| [internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.Q5_K_M.gguf) | Q5_K_M | 1.26GB |\n| [internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.Q5_1.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.Q5_1.gguf) | Q5_1 | 1.33GB |\n| [internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.Q6_K.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.Q6_K.gguf) | Q6_K | 1.45GB |\n| [internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.Q8_0.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/internlm2-math-plus-1_8b_MATH_training_Qwen2.5-32B-Instruct.Q8_0.gguf) | Q8_0 | 1.87GB |\n\n\n\n\nOriginal model description:\n---\nlibrary_name: transformers\nlicense: other\nbase_model: internlm/internlm2-math-plus-1_8b\ntags:\n- llama-factory\n- full\n- generated_from_trainer\nmodel-index:\n- name: MATH_training_Qwen2.5-32B-Instruct\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# MATH_training_Qwen2.5-32B-Instruct\n\nThis model is a fine-tuned version of [internlm/internlm2-math-plus-1_8b](https://huggingface.co/internlm/internlm2-math-plus-1_8b) on the MATH_training_Qwen2.5-32B-Instruct dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 0.1884\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-05\n- train_batch_size: 4\n- eval_batch_size: 1\n- seed: 42\n- distributed_type: multi-GPU\n- num_devices: 4\n- total_train_batch_size: 16\n- total_eval_batch_size: 4\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: cosine\n- num_epochs: 2\n\n### Training results\n\n| Training Loss | Epoch  | Step | Validation Loss |\n|:-------------:|:------:|:----:|:---------------:|\n| 0.1906        | 0.5988 | 200  | 0.1940          |\n| 0.1362        | 1.1976 | 400  | 0.1899          |\n| 0.1514        | 1.7964 | 600  | 0.1884          |\n\n\n### Framework versions\n\n- Transformers 4.46.1\n- Pytorch 2.5.1+cu124\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": 205,
  "gated": false,
  "private": false,
  "last_modified": "2025-04-07T01:42:37.000Z",
  "created_at": "2025-04-07T01:17:54.000Z",
  "pipeline_tag": "",
  "library_name": ""
}

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  "createdAt": "2025-04-07T01:17:54.000Z",
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