richarderkhov/jayhyeon_-_qwen2.5-0.5b-sft-2e-5-2ep-mdpo_1e-6-3ep_0alp_0lam-gguf overview

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    "hero_image_url": "https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg",
    "summary": "This model is a fine-tuned version of JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep on the trl-lib/ultrafeedback_binarized dataset. It has been trained using TRL.",
    "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\nQwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam - GGUF\n- Model creator: https://huggingface.co/JayHyeon/\n- Original model: https://huggingface.co/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.Q2_K.gguf](https://huggingface.co/RichardErkhov/JayHyeon_-_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam-gguf/blob/main/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.Q2_K.gguf) | Q2_K | 0.39GB |\n| [Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/JayHyeon_-_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam-gguf/blob/main/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.IQ3_XS.gguf) | IQ3_XS | 0.39GB |\n| [Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.IQ3_S.gguf](https://huggingface.co/RichardErkhov/JayHyeon_-_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam-gguf/blob/main/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.IQ3_S.gguf) | IQ3_S | 0.39GB |\n| [Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/JayHyeon_-_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam-gguf/blob/main/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.Q3_K_S.gguf) | Q3_K_S | 0.39GB |\n| [Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.IQ3_M.gguf](https://huggingface.co/RichardErkhov/JayHyeon_-_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam-gguf/blob/main/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.IQ3_M.gguf) | IQ3_M | 0.39GB |\n| [Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.Q3_K.gguf](https://huggingface.co/RichardErkhov/JayHyeon_-_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam-gguf/blob/main/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.Q3_K.gguf) | Q3_K | 0.4GB |\n| [Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/JayHyeon_-_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam-gguf/blob/main/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.Q3_K_M.gguf) | Q3_K_M | 0.4GB |\n| [Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/JayHyeon_-_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam-gguf/blob/main/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.Q3_K_L.gguf) | Q3_K_L | 0.42GB |\n| [Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/JayHyeon_-_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam-gguf/blob/main/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.IQ4_XS.gguf) | IQ4_XS | 0.4GB |\n| [Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.Q4_0.gguf](https://huggingface.co/RichardErkhov/JayHyeon_-_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam-gguf/blob/main/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.Q4_0.gguf) | Q4_0 | 0.4GB |\n| [Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/JayHyeon_-_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam-gguf/blob/main/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.IQ4_NL.gguf) | IQ4_NL | 0.4GB |\n| [Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/JayHyeon_-_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam-gguf/blob/main/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.Q4_K_S.gguf) | Q4_K_S | 0.45GB |\n| [Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.Q4_K.gguf](https://huggingface.co/RichardErkhov/JayHyeon_-_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam-gguf/blob/main/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.Q4_K.gguf) | Q4_K | 0.46GB |\n| [Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/JayHyeon_-_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam-gguf/blob/main/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.Q4_K_M.gguf) | Q4_K_M | 0.46GB |\n| [Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.Q4_1.gguf](https://huggingface.co/RichardErkhov/JayHyeon_-_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam-gguf/blob/main/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.Q4_1.gguf) | Q4_1 | 0.43GB |\n| [Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.Q5_0.gguf](https://huggingface.co/RichardErkhov/JayHyeon_-_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam-gguf/blob/main/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.Q5_0.gguf) | Q5_0 | 0.46GB |\n| [Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/JayHyeon_-_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam-gguf/blob/main/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.Q5_K_S.gguf) | Q5_K_S | 0.48GB |\n| [Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.Q5_K.gguf](https://huggingface.co/RichardErkhov/JayHyeon_-_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam-gguf/blob/main/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.Q5_K.gguf) | Q5_K | 0.49GB |\n| [Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/JayHyeon_-_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam-gguf/blob/main/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.Q5_K_M.gguf) | Q5_K_M | 0.49GB |\n| [Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.Q5_1.gguf](https://huggingface.co/RichardErkhov/JayHyeon_-_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam-gguf/blob/main/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.Q5_1.gguf) | Q5_1 | 0.49GB |\n| [Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.Q6_K.gguf](https://huggingface.co/RichardErkhov/JayHyeon_-_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam-gguf/blob/main/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.Q6_K.gguf) | Q6_K | 0.61GB |\n| [Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.Q8_0.gguf](https://huggingface.co/RichardErkhov/JayHyeon_-_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam-gguf/blob/main/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam.Q8_0.gguf) | Q8_0 | 0.63GB |\n\n\n\n\nOriginal model description:\n---\nbase_model: JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep\ndatasets: trl-lib/ultrafeedback_binarized\nlibrary_name: transformers\nmodel_name: Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam\ntags:\n- generated_from_trainer\n- trl\n- dpo\nlicence: license\n---\n\n# Model Card for Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam\n\nThis model is a fine-tuned version of [JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep](https://huggingface.co/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep) on the [trl-lib/ultrafeedback_binarized](https://huggingface.co/datasets/trl-lib/ultrafeedback_binarized) dataset.\nIt has been trained using [TRL](https://github.com/huggingface/trl).\n\n## Quick start\n\n```python\nfrom transformers import pipeline\n\nquestion = \"If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?\"\ngenerator = pipeline(\"text-generation\", model=\"JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam\", device=\"cuda\")\noutput = generator([{\"role\": \"user\", \"content\": question}], max_new_tokens=128, return_full_text=False)[0]\nprint(output[\"generated_text\"])\n```\n\n## Training procedure\n\n[<img src=\"https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg\" alt=\"Visualize in Weights & Biases\" width=\"150\" height=\"24\"/>](https://wandb.ai/bonin147/huggingface/runs/oppjmgdc)\n\nThis model was trained with DPO, a method introduced in [Direct Preference Optimization: Your Language Model is Secretly a Reward Model](https://huggingface.co/papers/2305.18290).\n\n### Framework versions\n\n- TRL: 0.13.0.dev0\n- Transformers: 4.47.0.dev0\n- Pytorch: 2.5.1\n- Datasets: 3.1.0\n- Tokenizers: 0.20.3\n\n## Citations\n\nCite DPO as:\n\n```bibtex\n@inproceedings{rafailov2023direct,\n    title        = {{Direct Preference Optimization: Your Language Model is Secretly a Reward Model}},\n    author       = {Rafael Rafailov and Archit Sharma and Eric Mitchell and Christopher D. Manning and Stefano Ermon and Chelsea Finn},\n    year         = 2023,\n    booktitle    = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023},\n    url          = {http://papers.nips.cc/paper_files/paper/2023/hash/a85b405ed65c6477a4fe8302b5e06ce7-Abstract-Conference.html},\n    editor       = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine},\n}\n```\n\nCite TRL as:\n    \n```bibtex\n@misc{vonwerra2022trl,\n\ttitle        = {{TRL: Transformer Reinforcement Learning}},\n\tauthor       = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec},\n\tyear         = 2020,\n\tjournal      = {GitHub repository},\n\tpublisher    = {GitHub},\n\thowpublished = {\\url{https://github.com/huggingface/trl}}\n}\n```\n\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "arxiv:2305.18290",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 236,
  "gated": false,
  "private": false,
  "last_modified": "2025-03-14T02:28:46.000Z",
  "created_at": "2025-03-14T02:16:35.000Z",
  "pipeline_tag": "",
  "library_name": ""
}

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