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Firefly Bloom 7b1 by YeungNLP

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  Merged Model   Autotrain compatible   Bloom   Endpoints compatible   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/YeungNLP/firefly-bloom-7b1 

Firefly Bloom 7b1 Benchmarks

ARC: 40.44 vs 96.7 (so35)-58.2%
HellaSwag: 61.2 vs 95.3 (gpt4)-35.8%
MMLU: 26.83 vs 88.3 (so35)-69.6%
TruthfulQA: 40.83 vs 59 (gpt4)-30.8%
WinoGrande: 64.56 vs 87.5 (gpt4)-26.2%
GSM8K: 0.68 vs 96.4 (so35)-99.3%
LLME Score: 0.14974
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Firefly Bloom 7b1 (YeungNLP/firefly-bloom-7b1)
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Firefly Bloom 7b1 Parameters and Internals

Training Details 
Data Sources:
百万中英文指令数据
Methodology:
指令微调
LLM NameFirefly Bloom 7b1
Repository 🤗https://huggingface.co/YeungNLP/firefly-bloom-7b1 
Merged ModelYes
Required VRAM16.2 GB
Updated2025-08-21
MaintainerYeungNLP
Model Typebloom
Model Files  14.1 GB: 1-of-2   2.1 GB: 2-of-2
Model ArchitectureBloomForCausalLM
Transformers Version4.30.0.dev0
Tokenizer ClassBloomTokenizer
Padding Token<pad>
Vocabulary Size250880
Torch Data Typefloat16

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ClinicalGPT Base Zh0K / 15.8 GB132250
DElefant0K / 12.5 GB134
Okapi Da Bloom0K / 16.2 GB142
Pixiu V1.00K / 32.3 GB122
Okapi Fr Bloom0K / 18 GB161

Rank the Firefly Bloom 7b1 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 v20241124
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