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Gogpt 3B Bloom by golaxy

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  Autotrain compatible   Bloom Dataset:bellegroup/school math... Dataset:bellegroup/train 0.5m ...   Dataset:bellegroup/train 1m cn   Dataset:bellegroup/train 2m cn Dataset:bellegroup/train 3.5m ...   Endpoints compatible   Pytorch   Region:us   Sharded   Tensorboard   Zh
Model Card on HF 🤗: https://huggingface.co/golaxy/gogpt-3b-bloom 

Gogpt 3B Bloom Benchmarks

ARC: 31.91 vs 96.7 (so35)-67%
HellaSwag: 50.32 vs 95.3 (gpt4)-47.2%
MMLU: 25.2 vs 88.3 (so35)-71.5%
TruthfulQA: 41.79 vs 59 (gpt4)-29.2%
WinoGrande: 54.38 vs 87.5 (gpt4)-37.9%
GSM8K: 0.15 vs 96.4 (so35)-99.8%
LLME Score: 0.17026
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gogpt 3B Bloom (golaxy/gogpt-3b-bloom)

Gogpt 3B Bloom Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Additional Notes 
Development of GoGPT is ongoing, with future plans to incorporate RLFH training and English-Chinese parallel corpora.
Supported Languages 
zh (high)
Training Details 
Data Sources:
BelleGroup/train_2M_CN, BelleGroup/train_3.5M_CN, BelleGroup/train_1M_CN, BelleGroup/train_0.5M_CN, BelleGroup/school_math_0.25M
Methodology:
Fine-tuning using diverse Chinese instruction data.
Model Architecture:
BLOOM-based model
LLM NameGogpt 3B Bloom
Repository 🤗https://huggingface.co/golaxy/gogpt-3b-bloom 
Model Size3b
Required VRAM14.6 GB
Updated2024-12-26
Maintainergolaxy
Model Typebloom
Model Files  9.9 GB: 1-of-2   4.7 GB: 2-of-2   0.0 GB
Supported Languageszh
Model ArchitectureBloomForCausalLM
Licenseapache-2.0
Model Max Length2048
Transformers Version4.29.1
Tokenizer ClassBloomTokenizer
Padding Token<pad>
Vocabulary Size250880
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than golaxy/gogpt-3b-bloom.

Rank the Gogpt 3B Bloom 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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