Model Intelligence Sheet
richarderkhov/cutelemonlili_-_qwen2.5-math-1.5b-oreo-value_math_training_qwen2.5-32b-instruct-gguf overview
This model is a fine-tuned version of jwhj/Qwen2.5-Math-1.5B-OREO-Value on the MATHtrainingQwen2.5-32B-Instruct dataset. It achieves the following results on the evaluation set:
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Repository Files & Downloads
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Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.IQ3_M.gguf | GGUF | IQ3_M | 740.68 MB | Download |
| Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.IQ3_S.gguf | GGUF | IQ3_S | 727.09 MB | Download |
| Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.IQ3_XS.gguf | GGUF | IQ3_XS | 697.80 MB | Download |
| Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.IQ4_NL.gguf | GGUF | IQ4_NL | 897.88 MB | Download |
| Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.IQ4_XS.gguf | GGUF | IQ4_XS | 860.39 MB | Download |
| Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q2_K.gguf | GGUF | Q2_K | 644.97 MB | Download |
| Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q3_K.gguf | GGUF | Q3_K | 786.00 MB | Download |
| Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q3_K_L.gguf | GGUF | Q3_K_L | 839.39 MB | Download |
| Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q3_K_M.gguf | GGUF | Q3_K_M | 786.00 MB | Download |
| Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q3_K_S.gguf | GGUF | Q3_K_S | 725.69 MB | Download |
| Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q4_0.gguf | GGUF | — | 891.64 MB | Download |
| Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q4_1.gguf | GGUF | — | 969.74 MB | Download |
| Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q4_K.gguf | GGUF | Q4_K | 940.37 MB | Download |
| Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q4_K_M.gguf | GGUF | Q4_K_M | 940.37 MB | Download |
| Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q4_K_S.gguf | GGUF | Q4_K_S | 896.75 MB | Download |
| Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q5_0.gguf | GGUF | — | 1.02 GB | Download |
| Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q5_1.gguf | GGUF | — | 1.10 GB | Download |
| Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q5_K.gguf | GGUF | Q5_K | 1.05 GB | Download |
| Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q5_K_M.gguf | GGUF | Q5_K_M | 1.05 GB | Download |
| Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q5_K_S.gguf | GGUF | Q5_K_S | 1.02 GB | Download |
| Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q6_K.gguf | GGUF | Q6_K | 1.19 GB | Download |
| Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q8_0.gguf | GGUF | — | 1.53 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"frontmatter": {},
"hero_image_url": "",
"summary": "This model is a fine-tuned version of jwhj/Qwen2.5-Math-1.5B-OREO-Value 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\nQwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct - GGUF\n- Model creator: https://huggingface.co/cutelemonlili/\n- Original model: https://huggingface.co/cutelemonlili/Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q2_K.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q2_K.gguf) | Q2_K | 0.63GB |\n| [Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.IQ3_XS.gguf) | IQ3_XS | 0.68GB |\n| [Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.IQ3_S.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.IQ3_S.gguf) | IQ3_S | 0.71GB |\n| [Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q3_K_S.gguf) | Q3_K_S | 0.71GB |\n| [Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.IQ3_M.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.IQ3_M.gguf) | IQ3_M | 0.72GB |\n| [Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q3_K.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q3_K.gguf) | Q3_K | 0.77GB |\n| [Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q3_K_M.gguf) | Q3_K_M | 0.77GB |\n| [Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q3_K_L.gguf) | Q3_K_L | 0.82GB |\n| [Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.IQ4_XS.gguf) | IQ4_XS | 0.84GB |\n| [Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q4_0.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q4_0.gguf) | Q4_0 | 0.87GB |\n| [Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.IQ4_NL.gguf) | IQ4_NL | 0.88GB |\n| [Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q4_K_S.gguf) | Q4_K_S | 0.88GB |\n| [Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q4_K.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q4_K.gguf) | Q4_K | 0.92GB |\n| [Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q4_K_M.gguf) | Q4_K_M | 0.92GB |\n| [Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q4_1.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q4_1.gguf) | Q4_1 | 0.95GB |\n| [Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q5_0.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q5_0.gguf) | Q5_0 | 1.02GB |\n| [Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q5_K_S.gguf) | Q5_K_S | 1.02GB |\n| [Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q5_K.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q5_K.gguf) | Q5_K | 1.05GB |\n| [Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q5_K_M.gguf) | Q5_K_M | 1.05GB |\n| [Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q5_1.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q5_1.gguf) | Q5_1 | 1.1GB |\n| [Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q6_K.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q6_K.gguf) | Q6_K | 1.19GB |\n| [Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q8_0.gguf](https://huggingface.co/RichardErkhov/cutelemonlili_-_Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct-gguf/blob/main/Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct.Q8_0.gguf) | Q8_0 | 1.53GB |\n\n\n\n\nOriginal model description:\n---\nlibrary_name: transformers\nlicense: other\nbase_model: jwhj/Qwen2.5-Math-1.5B-OREO-Value\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 [jwhj/Qwen2.5-Math-1.5B-OREO-Value](https://huggingface.co/jwhj/Qwen2.5-Math-1.5B-OREO-Value) on the MATH_training_Qwen2.5-32B-Instruct dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 0.1015\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| 0.0706 | 0.5988 | 200 | 0.0948 |\n| 0.03 | 1.1976 | 400 | 0.1022 |\n| 0.0263 | 1.7964 | 600 | 0.1017 |\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": 114,
"gated": false,
"private": false,
"last_modified": "2025-02-20T04:17:24.000Z",
"created_at": "2025-02-20T03:42:48.000Z",
"pipeline_tag": "",
"library_name": ""
}
Source payload excerpt (from Hugging Face API)
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"_id": "67b6a4b862165bc9f7145a5a",
"id": "RichardErkhov/cutelemonlili_-_Qwen2.5-Math-1.5B-OREO-Value_MATH_training_Qwen2.5-32B-Instruct-gguf",
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"sha": "4af3a2a6ac267fd564610ab2bd88ffc9de1aaa60",
"createdAt": "2025-02-20T03:42:48.000Z",
"lastModified": "2025-02-20T04:17:24.000Z",
"author": "RichardErkhov",
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