| Quantization made by Richard Erkhov. | |
| [Github](https://github.com/RichardErkhov) | |
| [Discord](https://discord.gg/pvy7H8DZMG) | |
| [Request more models](https://github.com/RichardErkhov/quant_request) | |
| online-dpo-qwen2-4 - GGUF | |
| - Model creator: https://huggingface.co/qgallouedec/ | |
| - Original model: https://huggingface.co/qgallouedec/online-dpo-qwen2-4/ | |
| | Name | Quant method | Size | | |
| | ---- | ---- | ---- | | |
| | [online-dpo-qwen2-4.Q2_K.gguf](https://huggingface.co/RichardErkhov/qgallouedec_-_online-dpo-qwen2-4-gguf/blob/main/online-dpo-qwen2-4.Q2_K.gguf) | Q2_K | 0.32GB | | |
| | [online-dpo-qwen2-4.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/qgallouedec_-_online-dpo-qwen2-4-gguf/blob/main/online-dpo-qwen2-4.IQ3_XS.gguf) | IQ3_XS | 0.32GB | | |
| | [online-dpo-qwen2-4.IQ3_S.gguf](https://huggingface.co/RichardErkhov/qgallouedec_-_online-dpo-qwen2-4-gguf/blob/main/online-dpo-qwen2-4.IQ3_S.gguf) | IQ3_S | 0.32GB | | |
| | [online-dpo-qwen2-4.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/qgallouedec_-_online-dpo-qwen2-4-gguf/blob/main/online-dpo-qwen2-4.Q3_K_S.gguf) | Q3_K_S | 0.32GB | | |
| | [online-dpo-qwen2-4.IQ3_M.gguf](https://huggingface.co/RichardErkhov/qgallouedec_-_online-dpo-qwen2-4-gguf/blob/main/online-dpo-qwen2-4.IQ3_M.gguf) | IQ3_M | 0.32GB | | |
| | [online-dpo-qwen2-4.Q3_K.gguf](https://huggingface.co/RichardErkhov/qgallouedec_-_online-dpo-qwen2-4-gguf/blob/main/online-dpo-qwen2-4.Q3_K.gguf) | Q3_K | 0.33GB | | |
| | [online-dpo-qwen2-4.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/qgallouedec_-_online-dpo-qwen2-4-gguf/blob/main/online-dpo-qwen2-4.Q3_K_M.gguf) | Q3_K_M | 0.33GB | | |
| | [online-dpo-qwen2-4.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/qgallouedec_-_online-dpo-qwen2-4-gguf/blob/main/online-dpo-qwen2-4.Q3_K_L.gguf) | Q3_K_L | 0.34GB | | |
| | [online-dpo-qwen2-4.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/qgallouedec_-_online-dpo-qwen2-4-gguf/blob/main/online-dpo-qwen2-4.IQ4_XS.gguf) | IQ4_XS | 0.33GB | | |
| | [online-dpo-qwen2-4.Q4_0.gguf](https://huggingface.co/RichardErkhov/qgallouedec_-_online-dpo-qwen2-4-gguf/blob/main/online-dpo-qwen2-4.Q4_0.gguf) | Q4_0 | 0.33GB | | |
| | [online-dpo-qwen2-4.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/qgallouedec_-_online-dpo-qwen2-4-gguf/blob/main/online-dpo-qwen2-4.IQ4_NL.gguf) | IQ4_NL | 0.33GB | | |
| | [online-dpo-qwen2-4.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/qgallouedec_-_online-dpo-qwen2-4-gguf/blob/main/online-dpo-qwen2-4.Q4_K_S.gguf) | Q4_K_S | 0.36GB | | |
| | [online-dpo-qwen2-4.Q4_K.gguf](https://huggingface.co/RichardErkhov/qgallouedec_-_online-dpo-qwen2-4-gguf/blob/main/online-dpo-qwen2-4.Q4_K.gguf) | Q4_K | 0.37GB | | |
| | [online-dpo-qwen2-4.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/qgallouedec_-_online-dpo-qwen2-4-gguf/blob/main/online-dpo-qwen2-4.Q4_K_M.gguf) | Q4_K_M | 0.37GB | | |
| | [online-dpo-qwen2-4.Q4_1.gguf](https://huggingface.co/RichardErkhov/qgallouedec_-_online-dpo-qwen2-4-gguf/blob/main/online-dpo-qwen2-4.Q4_1.gguf) | Q4_1 | 0.35GB | | |
| | [online-dpo-qwen2-4.Q5_0.gguf](https://huggingface.co/RichardErkhov/qgallouedec_-_online-dpo-qwen2-4-gguf/blob/main/online-dpo-qwen2-4.Q5_0.gguf) | Q5_0 | 0.37GB | | |
| | [online-dpo-qwen2-4.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/qgallouedec_-_online-dpo-qwen2-4-gguf/blob/main/online-dpo-qwen2-4.Q5_K_S.gguf) | Q5_K_S | 0.38GB | | |
| | [online-dpo-qwen2-4.Q5_K.gguf](https://huggingface.co/RichardErkhov/qgallouedec_-_online-dpo-qwen2-4-gguf/blob/main/online-dpo-qwen2-4.Q5_K.gguf) | Q5_K | 0.39GB | | |
| | [online-dpo-qwen2-4.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/qgallouedec_-_online-dpo-qwen2-4-gguf/blob/main/online-dpo-qwen2-4.Q5_K_M.gguf) | Q5_K_M | 0.39GB | | |
| | [online-dpo-qwen2-4.Q5_1.gguf](https://huggingface.co/RichardErkhov/qgallouedec_-_online-dpo-qwen2-4-gguf/blob/main/online-dpo-qwen2-4.Q5_1.gguf) | Q5_1 | 0.39GB | | |
| | [online-dpo-qwen2-4.Q6_K.gguf](https://huggingface.co/RichardErkhov/qgallouedec_-_online-dpo-qwen2-4-gguf/blob/main/online-dpo-qwen2-4.Q6_K.gguf) | Q6_K | 0.47GB | | |
| | [online-dpo-qwen2-4.Q8_0.gguf](https://huggingface.co/RichardErkhov/qgallouedec_-_online-dpo-qwen2-4-gguf/blob/main/online-dpo-qwen2-4.Q8_0.gguf) | Q8_0 | 0.49GB | | |
| Original model description: | |
| --- | |
| base_model: Qwen/Qwen2-0.5B-Instruct | |
| datasets: trl-lib/ultrafeedback-prompt | |
| library_name: transformers | |
| model_name: online-dpo-qwen2-4 | |
| tags: | |
| - trl | |
| - generated_from_trainer | |
| - online-dpo | |
| licence: license | |
| --- | |
| # Model Card for online-dpo-qwen2-4 | |
| This model is a fine-tuned version of [Qwen/Qwen2-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2-0.5B-Instruct) on the [trl-lib/ultrafeedback-prompt](https://huggingface.co/datasets/trl-lib/ultrafeedback-prompt) dataset. | |
| It has been trained using [TRL](https://github.com/huggingface/trl). | |
| ## Quick start | |
| ```python | |
| from transformers import pipeline | |
| question = "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?" | |
| generator = pipeline("text-generation", model="qgallouedec/online-dpo-qwen2-4", device="cuda") | |
| output = generator([{"role": "user", "content": question}], max_new_tokens=500)[0] | |
| print(output["generated_text"][1]["content"]) | |
| ``` | |
| ## Training procedure | |
| [<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/huggingface/huggingface/runs/8q6fzgyf) | |
| This model was trained with Online DPO, a method introduced in [Direct Language Model Alignment from Online AI Feedback](https://huggingface.co/papers/2402.04792). | |
| ### Framework versions | |
| - TRL: 0.12.0.dev0 | |
| - Transformers: 4.45.0.dev0 | |
| - Pytorch: 2.4.1 | |
| - Datasets: 3.0.0 | |
| - Tokenizers: 0.19.1 | |