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Faro Yi 9B 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 9B Benchmarks

ARC: 61.26-36.4%
HellaSwag: 76.95-19.3%
MMLU: 70.77-18.2%
TruthfulQA: 50.17-15%
WinoGrande: 76.09-13%
GSM8K: 63-31.5%
nn.n% — How the model compares to the GPT-4.

Faro Yi 9B Parameters and Internals

LLM NameFaro Yi 9B
RepositoryOpen on 🤗 
Merged ModelYes
Model Size9b
Required VRAM17.7 GB
Updated2024-07-26
Maintainerwenbopan
Model Typellama
Model Files  4.9 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   2.8 GB: 4-of-4
Supported Languageszh en
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.38.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16
Faro Yi 9B (wenbopan/Faro-Yi-9B)

Best Alternatives to Faro Yi 9B

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HF Rank
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Likes
Yi 9B 200K0.4256K / 17.7 GB672674
BigYi 15.75B 200K0.2256K / 30.3 GB2470
Yi 1.5 9B 32K0.432K / 17.7 GB618618
Faro Yi 9B DPO0.332K / 17.7 GB394730
Openbuddy Yi1.5 9B V21.1 32K0.332K / 17.8 GB14581
Yi 1.5 9B Chat 16K0.416K / 17.7 GB3677929
Dolphin 2.9.1 Yi 1.5 9B0.311K / 17.7 GB351923
Yi 1.5 Dolphin 9B0.38K / 17.7 GB53260
Med Yi 1.5 9B0.38K / 17.7 GB18310
Yi 1.5 9B Coder0.28K / 17.7 GB64
Note: green Score (e.g. "73.2") means that the model is better than wenbopan/Faro-Yi-9B.

Rank the Faro Yi 9B 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 v2024072501
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