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Tigerbot 7B Sft V2 by TigerResearch

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  Autotrain compatible   Bloom   Endpoints compatible   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/TigerResearch/tigerbot-7b-sft-v2 

Tigerbot 7B Sft V2 Benchmarks

ARC: 60 vs 96.7 (so35)-38%
HellaSwag: 39 vs 95.3 (gpt4)-59.1%
MMLU: 29.8 vs 88.3 (so35)-66.3%
GSM8K: 5.9 vs 96.4 (so35)-93.9%
OpenCompas: 35.6 vs 73.3 (gpt4)-51.4%
Exam: 38.1 vs 77.2 (gpt4)-50.6%
Language: 31 vs 62 (gpt4)-50%
Knowledge: 34.4 vs 73.5 (gpt4)-53.2%
Understand: 42.8 vs 70 (gpt4)-38.9%
Reasoning: 33.9 vs 74.4 (gpt4)-54.4%
LLME Score: 0.12129
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tigerbot 7B Sft V2 (TigerResearch/tigerbot-7b-sft-v2)

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 🤗https://huggingface.co/TigerResearch/tigerbot-7b-sft-v2 
Model Size7b
Required VRAM14.2 GB
Updated2024-12-26
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

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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

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241217
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