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Bloom 7B Chunhua by wptoux

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Bloom 7B Chunhua is an open-source language model by wptoux. Features: 7b LLM, VRAM: 16.4GB, License: apache-2.0, LLM Explorer Score: 0.08.

  Art   Bloom Dataset:bellegroup/train 0.5m ...   Endpoints compatible   Pytorch   Region:us   Sharded   Zh
Model Card on HF 🤗: https://huggingface.co/wptoux/bloom-7b-chunhua 

Bloom 7B Chunhua Benchmarks

LLME Score: 0.08143
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Bloom 7B Chunhua (wptoux/bloom-7b-chunhua)
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Bloom 7B Chunhua Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research
Limitations:
Output may be inaccurate or biased
Additional Notes 
The model has strong understanding capabilities in ancient Chinese due to its extensive dataset.
Supported Languages 
zh (ancient Chinese)
Training Details 
Data Sources:
scripta-sinica, BelleGroup/train_0.5M_CN
Data Volume:
~13 billion characters (scripta-sinica)
Methodology:
fine-tuning
Model Architecture:
Based on Bloom architecture
Input Output 
Input Format:
Formatted according to ChatML structure
Accepted Modalities:
text
Output Format:
Ancient Chinese text responses
LLM NameBloom 7B Chunhua
Repository 🤗https://huggingface.co/wptoux/bloom-7b-chunhua 
Model Size7b
Required VRAM16.4 GB
Updated2026-04-27
Maintainerwptoux
Model Typebloom
Model Files  0.0 GB: 1-of-10   2.1 GB: 2-of-10   1.9 GB: 3-of-10   1.9 GB: 4-of-10   2.0 GB: 5-of-10   1.9 GB: 6-of-10   1.9 GB: 7-of-10   1.9 GB: 8-of-10   0.7 GB: 9-of-10   2.1 GB: 10-of-10
Supported Languageszh
Model ArchitectureBloomForCausalLM
Licenseapache-2.0
Transformers Version4.27.1
Tokenizer ClassBloomTokenizer
Padding Token<pad>
Vocabulary Size250880
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than wptoux/bloom-7b-chunhua.

Rank the Bloom 7B Chunhua 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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