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Zephyr 7B Gemma V0.1 by HuggingFaceH4

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  Arxiv:2310.16944   Alignment-handbook   Autotrain compatible Base model:finetune:huggingfac... Base model:huggingfaceh4/zephy...   Conversational   Dataset:argilla/dpo-mix-7k   Dpo   Endpoints compatible   Gemma   Generated from trainer   Model-index   Region:us   Safetensors   Sharded   Tensorboard   Tensorflow   Trl

Zephyr 7B Gemma V0.1 Benchmarks

MMLU Pro: 20.53
GPQA: 5.93
MUSR: 4.18
BBH: 23.75
IFEval: 33.64 vs 88 (so35)-61.8%
ARC: 57.94 vs 96.7 (so35)-40.1%
HellaSwag: 82.91 vs 95.3 (gpt4)-13%
MMLU: 58.98 vs 88.3 (so35)-33.2%
TruthfulQA: 52.47 vs 59 (gpt4)-11.1%
WinoGrande: 72.53 vs 87.5 (gpt4)-17.1%
GSM8K: 44.05 vs 96.4 (so35)-54.3%
MATH Lvl 5: 6.65
LLME Score: 0.29317
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Zephyr 7B Gemma V0.1 Parameters and Internals

Model Type 
text generation
Additional Notes 
Model is likely to generate problematic outputs since it was not aligned for safety with RLHF.
Supported Languages 
primarily_english (full proficiency)
Training Details 
Data Sources:
argilla/dpo-mix-7k
Methodology:
Direct Preference Optimization (DPO), fine-tuned on synthetic datasets
Model Architecture:
GPT-like architecture, fine-tuned variant
LLM NameZephyr 7B Gemma V0.1
Repository 🤗https://huggingface.co/HuggingFaceH4/zephyr-7b-gemma-v0.1 
Base Model(s)  HuggingFaceH4/zephyr-7b-gemma-sft-v0.1   HuggingFaceH4/zephyr-7b-gemma-sft-v0.1
Model Size7b
Required VRAM17.1 GB
Updated2024-11-21
MaintainerHuggingFaceH4
Model Typegemma
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   2.1 GB: 4-of-4   0.0 GB
Model ArchitectureGemmaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.39.0.dev0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16
Zephyr 7B Gemma V0.1 (HuggingFaceH4/zephyr-7b-gemma-v0.1)

Quantized Models of the Zephyr 7B Gemma V0.1

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VRAM
Zephyr 7B Gemma V0.1 GGUF61453 GB

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Note: green Score (e.g. "73.2") means that the model is better than HuggingFaceH4/zephyr-7b-gemma-v0.1.

Rank the Zephyr 7B Gemma V0.1 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110
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