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Zephyr DPO V2 by BarraHome

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  4bit   Autotrain compatible Base model:barrahome/zephyr-dp... Base model:finetune:barrahome/... Dataset:barrahome/ultrafeedbac... Dataset:jondurbin/truthy-dpo-v...   En   Endpoints compatible   Es   Mistral   Model-index   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth

Zephyr DPO V2 Benchmarks

ARC: 57.85 vs 96.7 (so35)-40.2%
HellaSwag: 82.72 vs 95.3 (gpt4)-13.2%
MMLU: 58.61 vs 88.3 (so35)-33.6%
TruthfulQA: 56.16 vs 59 (gpt4)-4.8%
WinoGrande: 74.35 vs 87.5 (gpt4)-15%
GSM8K: 30.25 vs 96.4 (so35)-68.6%
LLME Score: 0.23827
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Zephyr DPO V2 Parameters and Internals

LLM NameZephyr DPO V2
Repository 🤗https://huggingface.co/BarraHome/zephyr-dpo-v2 
Base Model(s)  Zephyr DPO 4bit   BarraHome/zephyr-dpo-4bit
Model Size7.2b
Required VRAM14.4 GB
Updated2024-09-08
MaintainerBarraHome
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen es
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.37.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16
Zephyr DPO V2 (BarraHome/zephyr-dpo-v2)

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Note: green Score (e.g. "73.2") means that the model is better than BarraHome/zephyr-dpo-v2.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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