richarderkhov/oxford-llms_-_llama3-1-ox-llms-8b-dpo-full-gguf overview

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    "summary": "This model is a fine-tuned version of oxford-llms/llama3-1-ox-llms-8b-sft-full on the argilla/dpo-mix-7k 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\nllama3-1-ox-llms-8b-dpo-full - GGUF\n- Model creator: https://huggingface.co/oxford-llms/\n- Original model: https://huggingface.co/oxford-llms/llama3-1-ox-llms-8b-dpo-full/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [llama3-1-ox-llms-8b-dpo-full.Q2_K.gguf](https://huggingface.co/RichardErkhov/oxford-llms_-_llama3-1-ox-llms-8b-dpo-full-gguf/blob/main/llama3-1-ox-llms-8b-dpo-full.Q2_K.gguf) | Q2_K | 2.96GB |\n| [llama3-1-ox-llms-8b-dpo-full.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/oxford-llms_-_llama3-1-ox-llms-8b-dpo-full-gguf/blob/main/llama3-1-ox-llms-8b-dpo-full.IQ3_XS.gguf) | IQ3_XS | 3.28GB |\n| [llama3-1-ox-llms-8b-dpo-full.IQ3_S.gguf](https://huggingface.co/RichardErkhov/oxford-llms_-_llama3-1-ox-llms-8b-dpo-full-gguf/blob/main/llama3-1-ox-llms-8b-dpo-full.IQ3_S.gguf) | IQ3_S | 3.43GB |\n| [llama3-1-ox-llms-8b-dpo-full.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/oxford-llms_-_llama3-1-ox-llms-8b-dpo-full-gguf/blob/main/llama3-1-ox-llms-8b-dpo-full.Q3_K_S.gguf) | Q3_K_S | 3.41GB |\n| [llama3-1-ox-llms-8b-dpo-full.IQ3_M.gguf](https://huggingface.co/RichardErkhov/oxford-llms_-_llama3-1-ox-llms-8b-dpo-full-gguf/blob/main/llama3-1-ox-llms-8b-dpo-full.IQ3_M.gguf) | IQ3_M | 3.52GB |\n| [llama3-1-ox-llms-8b-dpo-full.Q3_K.gguf](https://huggingface.co/RichardErkhov/oxford-llms_-_llama3-1-ox-llms-8b-dpo-full-gguf/blob/main/llama3-1-ox-llms-8b-dpo-full.Q3_K.gguf) | Q3_K | 3.74GB |\n| [llama3-1-ox-llms-8b-dpo-full.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/oxford-llms_-_llama3-1-ox-llms-8b-dpo-full-gguf/blob/main/llama3-1-ox-llms-8b-dpo-full.Q3_K_M.gguf) | Q3_K_M | 3.74GB |\n| [llama3-1-ox-llms-8b-dpo-full.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/oxford-llms_-_llama3-1-ox-llms-8b-dpo-full-gguf/blob/main/llama3-1-ox-llms-8b-dpo-full.Q3_K_L.gguf) | Q3_K_L | 4.03GB |\n| [llama3-1-ox-llms-8b-dpo-full.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/oxford-llms_-_llama3-1-ox-llms-8b-dpo-full-gguf/blob/main/llama3-1-ox-llms-8b-dpo-full.IQ4_XS.gguf) | IQ4_XS | 4.18GB |\n| [llama3-1-ox-llms-8b-dpo-full.Q4_0.gguf](https://huggingface.co/RichardErkhov/oxford-llms_-_llama3-1-ox-llms-8b-dpo-full-gguf/blob/main/llama3-1-ox-llms-8b-dpo-full.Q4_0.gguf) | Q4_0 | 4.34GB |\n| [llama3-1-ox-llms-8b-dpo-full.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/oxford-llms_-_llama3-1-ox-llms-8b-dpo-full-gguf/blob/main/llama3-1-ox-llms-8b-dpo-full.IQ4_NL.gguf) | IQ4_NL | 4.38GB |\n| [llama3-1-ox-llms-8b-dpo-full.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/oxford-llms_-_llama3-1-ox-llms-8b-dpo-full-gguf/blob/main/llama3-1-ox-llms-8b-dpo-full.Q4_K_S.gguf) | Q4_K_S | 4.37GB |\n| [llama3-1-ox-llms-8b-dpo-full.Q4_K.gguf](https://huggingface.co/RichardErkhov/oxford-llms_-_llama3-1-ox-llms-8b-dpo-full-gguf/blob/main/llama3-1-ox-llms-8b-dpo-full.Q4_K.gguf) | Q4_K | 4.58GB |\n| [llama3-1-ox-llms-8b-dpo-full.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/oxford-llms_-_llama3-1-ox-llms-8b-dpo-full-gguf/blob/main/llama3-1-ox-llms-8b-dpo-full.Q4_K_M.gguf) | Q4_K_M | 4.58GB |\n| [llama3-1-ox-llms-8b-dpo-full.Q4_1.gguf](https://huggingface.co/RichardErkhov/oxford-llms_-_llama3-1-ox-llms-8b-dpo-full-gguf/blob/main/llama3-1-ox-llms-8b-dpo-full.Q4_1.gguf) | Q4_1 | 4.78GB |\n| [llama3-1-ox-llms-8b-dpo-full.Q5_0.gguf](https://huggingface.co/RichardErkhov/oxford-llms_-_llama3-1-ox-llms-8b-dpo-full-gguf/blob/main/llama3-1-ox-llms-8b-dpo-full.Q5_0.gguf) | Q5_0 | 5.21GB |\n| [llama3-1-ox-llms-8b-dpo-full.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/oxford-llms_-_llama3-1-ox-llms-8b-dpo-full-gguf/blob/main/llama3-1-ox-llms-8b-dpo-full.Q5_K_S.gguf) | Q5_K_S | 5.21GB |\n| [llama3-1-ox-llms-8b-dpo-full.Q5_K.gguf](https://huggingface.co/RichardErkhov/oxford-llms_-_llama3-1-ox-llms-8b-dpo-full-gguf/blob/main/llama3-1-ox-llms-8b-dpo-full.Q5_K.gguf) | Q5_K | 5.34GB |\n| [llama3-1-ox-llms-8b-dpo-full.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/oxford-llms_-_llama3-1-ox-llms-8b-dpo-full-gguf/blob/main/llama3-1-ox-llms-8b-dpo-full.Q5_K_M.gguf) | Q5_K_M | 5.34GB |\n| [llama3-1-ox-llms-8b-dpo-full.Q5_1.gguf](https://huggingface.co/RichardErkhov/oxford-llms_-_llama3-1-ox-llms-8b-dpo-full-gguf/blob/main/llama3-1-ox-llms-8b-dpo-full.Q5_1.gguf) | Q5_1 | 5.65GB |\n| [llama3-1-ox-llms-8b-dpo-full.Q6_K.gguf](https://huggingface.co/RichardErkhov/oxford-llms_-_llama3-1-ox-llms-8b-dpo-full-gguf/blob/main/llama3-1-ox-llms-8b-dpo-full.Q6_K.gguf) | Q6_K | 6.14GB |\n| [llama3-1-ox-llms-8b-dpo-full.Q8_0.gguf](https://huggingface.co/RichardErkhov/oxford-llms_-_llama3-1-ox-llms-8b-dpo-full-gguf/blob/main/llama3-1-ox-llms-8b-dpo-full.Q8_0.gguf) | Q8_0 | 7.95GB |\n\n\n\n\nOriginal model description:\n---\nlibrary_name: transformers\nlicense: llama3.1\nbase_model: oxford-llms/llama3-1-ox-llms-8b-sft-full\ntags:\n- alignment-handbook\n- trl\n- dpo\n- generated_from_trainer\n- trl\n- dpo\n- generated_from_trainer\ndatasets:\n- argilla/dpo-mix-7k\nmodel-index:\n- name: llama3-1-ox-llms-8b-dpo-full\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# llama3-1-ox-llms-8b-dpo-full\n\nThis model is a fine-tuned version of [oxford-llms/llama3-1-ox-llms-8b-sft-full](https://huggingface.co/oxford-llms/llama3-1-ox-llms-8b-sft-full) on the argilla/dpo-mix-7k dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 0.4831\n- Rewards/chosen: -0.2543\n- Rewards/rejected: -1.0940\n- Rewards/accuracies: 0.7708\n- Rewards/margins: 0.8397\n- Logps/rejected: -340.3136\n- Logps/chosen: -325.1967\n- Logits/rejected: -1.3101\n- Logits/chosen: -1.3085\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: 5e-07\n- train_batch_size: 4\n- eval_batch_size: 4\n- seed: 42\n- distributed_type: multi-GPU\n- num_devices: 8\n- gradient_accumulation_steps: 2\n- total_train_batch_size: 64\n- total_eval_batch_size: 32\n- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n- lr_scheduler_type: cosine\n- lr_scheduler_warmup_ratio: 0.1\n- num_epochs: 2\n\n### Training results\n\n| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |\n|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|\n| 0.528         | 0.9479 | 100  | 0.5267          | -0.0255        | -0.6055          | 0.7604             | 0.5800          | -330.5430      | -320.6201    | -1.3169         | -1.3159       |\n| 0.3731        | 1.8957 | 200  | 0.4821          | -0.2481        | -1.0900          | 0.7604             | 0.8419          | -340.2323      | -325.0733    | -1.3099         | -1.3082       |\n\n\n### Framework versions\n\n- Transformers 4.45.1\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": 118,
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  "last_modified": "2025-07-07T02:17:04.000Z",
  "created_at": "2025-07-07T00:46:04.000Z",
  "pipeline_tag": "",
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