Zephyr Qwen2 7B DPO by tanliboy

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  Alignment-handbook   Autotrain compatible Base model:finetune:tanliboy/z... Base model:tanliboy/zephyr-qwe...   Conversational Dataset:huggingfaceh4/ultrafee...   Dpo   Endpoints compatible   Generated from trainer   Qwen2   Region:us   Safetensors   Sharded   Tensorboard   Tensorflow   Trl

Zephyr Qwen2 7B DPO Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Zephyr Qwen2 7B DPO (tanliboy/zephyr-qwen2-7b-dpo)

Zephyr Qwen2 7B DPO Parameters and Internals

Additional Notes 
This model is a fine-tuned version of the base model on a specific dataset. The specific training hyperparameters like learning rate, batch sizes, optimizer settings, and others were used. The model achieved certain performance metrics on the evaluation set.
Training Details 
Data Sources:
HuggingFaceH4/ultrafeedback_binarized
LLM NameZephyr Qwen2 7B DPO
Repository ๐Ÿค—https://huggingface.co/tanliboy/zephyr-qwen2-7b-dpo 
Base Model(s)  Zephyr Qwen2 7B Sft   tanliboy/zephyr-qwen2-7b-sft
Model Size7b
Required VRAM15.2 GB
Updated2025-06-01
Maintainertanliboy
Model Typeqwen2
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4   0.0 GB
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.40.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than tanliboy/zephyr-qwen2-7b-dpo.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227