Tigerbot 7B Sft V2 by TigerResearch

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  Autotrain compatible   Bloom   Endpoints compatible   Pytorch   Region:us   Sharded

Tigerbot 7B Sft V2 Benchmarks

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Tigerbot 7B Sft V2 Parameters and Internals

Model Type 
text generation
Additional Notes 
The model is intended for text generation tasks, and offers customization options via Hugging Face.
Input Output 
Input Format:
{instruction}
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Adjust 'top_p' and 'temperature' for better performance.
LLM NameTigerbot 7B Sft V2
Repository ๐Ÿค—https://huggingface.co/TigerResearch/tigerbot-7b-sft-v2 
Model Size7b
Required VRAM14.2 GB
Updated2024-12-02
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
Torch Data Typebfloat16
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.

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  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124