Tigerbot 180B Research by TigerResearch

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  Autotrain compatible   Bloom   Endpoints compatible   Pytorch   Region:us   Sharded

Tigerbot 180B Research Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tigerbot 180B Research (TigerResearch/tigerbot-180b-research)
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Tigerbot 180B Research Parameters and Internals

Model Type 
Causal Language Model
Additional Notes 
A cutting-edge foundation for a custom Language Model (LLM).
Input Output 
Input Format:
Formatted with instruction prompt and possible response
Accepted Modalities:
text
Output Format:
Tokenized text response
Performance Tips:
Ensure memory and device allocation are balanced for optimal performance.
LLM NameTigerbot 180B Research
Repository ๐Ÿค—https://huggingface.co/TigerResearch/tigerbot-180b-research 
Model Size180b
Required VRAM360.8 GB
Updated2025-09-23
MaintainerTigerResearch
Model Typebloom
Model Files  8.8 GB: 1-of-37   9.9 GB: 2-of-37   9.9 GB: 3-of-37   9.9 GB: 4-of-37   9.9 GB: 5-of-37   9.9 GB: 6-of-37   9.9 GB: 7-of-37   9.9 GB: 8-of-37   9.9 GB: 9-of-37   9.9 GB: 10-of-37   9.9 GB: 11-of-37   9.9 GB: 12-of-37   9.9 GB: 13-of-37   9.9 GB: 14-of-37   9.9 GB: 15-of-37   9.9 GB: 16-of-37   9.9 GB: 17-of-37   9.9 GB: 18-of-37   9.9 GB: 19-of-37   9.9 GB: 20-of-37   9.9 GB: 21-of-37   9.9 GB: 22-of-37   9.9 GB: 23-of-37   9.9 GB: 24-of-37   9.9 GB: 25-of-37   9.9 GB: 26-of-37   9.9 GB: 27-of-37   9.9 GB: 28-of-37   9.9 GB: 29-of-37   9.9 GB: 30-of-37   9.9 GB: 31-of-37   9.9 GB: 32-of-37   9.9 GB: 33-of-37   9.9 GB: 34-of-37   9.9 GB: 35-of-37   8.2 GB: 36-of-37   7.2 GB: 37-of-37
Model ArchitectureBloomForCausalLM
Licenseapache-2.0
Model Max Length1024
Transformers Version4.29.2
Tokenizer ClassBloomTokenizer
Padding Token<pad>
Vocabulary Size250682
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than TigerResearch/tigerbot-180b-research.

Rank the Tigerbot 180B Research 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