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Faro Yi 34B by wenbopan

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  Merged Model   Arxiv:2303.08774   Autotrain compatible   Conversational   Dataset:wenbopan/fusang-v1 Dataset:wenbopan/openorca-zh-2...   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow   Zh

Faro Yi 34B Benchmarks

ARC: 66.55 vs 96.7 (so35)-31.2%
HellaSwag: 83.53 vs 95.3 (gpt4)-12.4%
MMLU: 76.6 vs 88.3 (so35)-13.3%
TruthfulQA: 55.64 vs 59 (gpt4)-5.7%
WinoGrande: 83.66 vs 87.5 (gpt4)-4.4%
GSM8K: 65.28 vs 96.4 (so35)-32.3%
LLME Score: 0.26125
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Faro Yi 34B Parameters and Internals

LLM NameFaro Yi 34B
Repository 🤗https://huggingface.co/wenbopan/Faro-Yi-34B 
Merged ModelYes
Model Size34b
Required VRAM69.2 GB
Updated2024-09-07
Maintainerwenbopan
Model Typellama
Model Files  4.8 GB: 1-of-15   4.8 GB: 2-of-15   5.0 GB: 3-of-15   4.8 GB: 4-of-15   4.8 GB: 5-of-15   5.0 GB: 6-of-15   4.8 GB: 7-of-15   4.8 GB: 8-of-15   5.0 GB: 9-of-15   4.8 GB: 10-of-15   4.8 GB: 11-of-15   5.0 GB: 12-of-15   4.8 GB: 13-of-15   4.8 GB: 14-of-15   1.2 GB: 15-of-15
Supported Languageszh en
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length200000
Model Max Length200000
Transformers Version4.39.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16
Faro Yi 34B (wenbopan/Faro-Yi-34B)

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Note: green Score (e.g. "73.2") means that the model is better than wenbopan/Faro-Yi-34B.

Rank the Faro Yi 34B 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 v2024072803
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