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Tigerbot 7B Sft V2 by TigerResearch

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  Autotrain compatible   Bloom   Endpoints compatible   License:apache-2.0   Pytorch   Region:us   Sharded

Tigerbot 7B Sft V2 Benchmarks

Rank the Tigerbot 7B Sft V2 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  
Tigerbot 7B Sft V2 (TigerResearch/tigerbot-7b-sft-v2)

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Note: green Score (e.g. "73.2") means that the model is better than TigerResearch/tigerbot-7b-sft-v2.

Tigerbot 7B Sft V2 Parameters and Internals

LLM NameTigerbot 7B Sft V2
RepositoryOpen on ๐Ÿค— 
Model Size7b
Required VRAM14.2 GB
Updated2024-02-28
MaintainerTigerResearch
Model Typebloom
Model Files  0.0 GB: 1-of-9   2.0 GB: 2-of-9   1.9 GB: 3-of-9   1.9 GB: 4-of-9   2.0 GB: 5-of-9   1.9 GB: 6-of-9   1.9 GB: 7-of-9   1.9 GB: 8-of-9   0.7 GB: 9-of-9
Model ArchitectureBloomForCausalLM
Licenseapache-2.0
Model Max Length1024
Transformers Version4.30.2
Tokenizer ClassBloomTokenizer
Padding Token<pad>
Vocabulary Size250682
Initializer Range0.02
Torch Data Typebfloat16
Layer Norm Epsilon1.0E-5
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024022003