Firefly Baichuan 7B by YeungNLP

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  Merged Model   Autotrain compatible   Baichuan   Custom code   Endpoints compatible   Pytorch   Region:us

Firefly Baichuan 7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Firefly Baichuan 7B (YeungNLP/firefly-baichuan-7b)

Firefly Baichuan 7B Parameters and Internals

Model Type 
text generation, dialogue
Use Cases 
Areas:
research, commercial applications
Applications:
dialogue systems, language modeling
Primary Use Cases:
Chinese dialogue generation
Additional Notes 
Additional code available on GitHub for more details.
Training Details 
Data Sources:
็™พไธ‡ๆ•ฐๆฎๅฏน
Data Volume:
unknown
Methodology:
QLoRA
Context Length:
1000
Training Time:
unknown
Model Architecture:
unknown
Input Output 
Input Format:
'~~User input~~' pattern
Accepted Modalities:
text
Output Format:
text response
Performance Tips:
Adjust parameters like 'top_p', 'temperature', and 'repetition_penalty' for better results.
LLM NameFirefly Baichuan 7B
Repository ๐Ÿค—https://huggingface.co/YeungNLP/firefly-baichuan-7b 
Merged ModelYes
Model Size7b
Required VRAM14 GB
Updated2025-04-19
MaintainerYeungNLP
Model Typebaichuan
Model Files  14.0 GB
Model ArchitectureBaiChuanForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.30.0.dev0
Tokenizer ClassBaiChuanTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size64000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than YeungNLP/firefly-baichuan-7b.

Rank the Firefly Baichuan 7B Capabilities

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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 v20241227