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Yi 70B 200K RPMerge Franken by DisOOM

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Model Card on HF 🤗: https://huggingface.co/DisOOM/Yi-70B-200k-RPMerge-Franken 

Yi 70B 200K RPMerge Franken Benchmarks

LLME Score: 0.17896
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Yi 70B 200K RPMerge Franken (DisOOM/Yi-70B-200k-RPMerge-Franken)

Yi 70B 200K RPMerge Franken Parameters and Internals

Model Type 
text generation, conversational
Additional Notes 
This is a frankenmerge created by interleaving layers of the Yi-34B with itself to increase the parameter count and enhance performance.
Supported Languages 
en (English), chi (Chinese)
Training Details 
Methodology:
Interleaving layers of Yi-34B-200K-RPMerge with itself using mergekit
LLM NameYi 70B 200K RPMerge Franken
Repository 🤗https://huggingface.co/DisOOM/Yi-70B-200k-RPMerge-Franken 
Model Size70b
Required VRAM142.4 GB
Updated2025-01-14
MaintainerDisOOM
Model Typellama
Model Files  9.6 GB: 1-of-15   9.7 GB: 2-of-15   9.9 GB: 3-of-15   9.9 GB: 4-of-15   9.9 GB: 5-of-15   9.9 GB: 6-of-15   9.8 GB: 7-of-15   9.9 GB: 8-of-15   9.8 GB: 9-of-15   9.8 GB: 10-of-15   10.0 GB: 11-of-15   9.7 GB: 12-of-15   10.0 GB: 13-of-15   10.0 GB: 14-of-15   4.5 GB: 15-of-15
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length200000
Model Max Length200000
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64002
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than DisOOM/Yi-70B-200k-RPMerge-Franken.

Rank the Yi 70B 200K RPMerge Franken 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 v20241227
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