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Firefly Bloom 2b6 V2 by YeungNLP

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  1264   
  Autotrain compatible   Bloom   Endpoints compatible   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/YeungNLP/firefly-bloom-2b6-v2 

Firefly Bloom 2b6 V2 Benchmarks

ARC: 27.65 vs 96.7 (so35)-71.4%
HellaSwag: 39.23 vs 95.3 (gpt4)-58.8%
MMLU: 25.24 vs 88.3 (so35)-71.4%
TruthfulQA: 42.27 vs 59 (gpt4)-28.4%
WinoGrande: 54.78 vs 87.5 (gpt4)-37.4%
GSM8K: 1.74 vs 96.4 (so35)-98.2%
LLME Score: 0.13798
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Firefly Bloom 2b6 V2 (YeungNLP/firefly-bloom-2b6-v2)
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Firefly Bloom 2b6 V2 Parameters and Internals

LLM NameFirefly Bloom 2b6 V2
Repository 🤗https://huggingface.co/YeungNLP/firefly-bloom-2b6-v2 
Required VRAM5 GB
Updated2025-10-06
MaintainerYeungNLP
Model Typebloom
Model Files  5.0 GB
Model ArchitectureBloomForCausalLM
Transformers Version4.29.0.dev0
Tokenizer ClassBloomTokenizer
Padding Token<pad>
Vocabulary Size46145
Torch Data Typefloat16

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ClinicalGPT Base Zh0K / 15.8 GB120350
DElefant0K / 12.5 GB64
Okapi Da Bloom0K / 16.2 GB02
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Okapi Fr Bloom0K / 18 GB121
Note: green Score (e.g. "73.2") means that the model is better than YeungNLP/firefly-bloom-2b6-v2.

Rank the Firefly Bloom 2b6 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 v20241124
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