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Yi 6B 200K DPO by chinoll

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  Autotrain compatible   Conversational Dataset:huggingfaceh4/ultrafee...   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/chinoll/Yi-6b-200k-dpo 

Yi 6B 200K DPO Benchmarks

ARC: 43.09 vs 96.7 (so35)-55.4%
HellaSwag: 74.53 vs 95.3 (gpt4)-21.8%
MMLU: 64 vs 88.3 (so35)-27.5%
TruthfulQA: 45.51 vs 59 (gpt4)-22.9%
WinoGrande: 73.09 vs 87.5 (gpt4)-16.5%
GSM8K: 11.37 vs 96.4 (so35)-88.2%
LLME Score: 0.2045
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Yi 6B 200K DPO (chinoll/Yi-6b-200k-dpo)

Yi 6B 200K DPO Parameters and Internals

Model Type 
text-generation
Supported Languages 
zh (unknown), en (unknown)
LLM NameYi 6B 200K DPO
Repository 🤗https://huggingface.co/chinoll/Yi-6b-200k-dpo 
Model Size6b
Required VRAM12.1 GB
Updated2024-12-21
Maintainerchinoll
Model Typellama
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   2.2 GB: 3-of-3
Supported Languageszh en
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length200000
Model Max Length200000
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than chinoll/Yi-6b-200k-dpo.

Rank the Yi 6B 200K DPO 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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Release v20241217
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