Nanbeige 16B Chat GGUF by TheBloke

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Base model:nanbeige/nanbeige-1... Base model:quantized:nanbeige/...   Custom code   En   Gguf   Nanbeige   Quantized   Region:us   Zh

Nanbeige 16B Chat GGUF Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Nanbeige 16B Chat GGUF (TheBloke/Nanbeige-16B-Chat-GGUF)

Nanbeige 16B Chat GGUF Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research, commercial applications
Limitations:
The model might generate unexpected outputs due to its size and probabilistic nature, Outputs may include harmful content such as bias or discrimination
Considerations:
Do not propagate harmful content; developers do not assume responsibility for such dissemination
Additional Notes 
This model has undergone human-aligned training for better user interaction.
Supported Languages 
en (Supported), zh (Supported)
Training Details 
Data Sources:
high-quality internet corpus, books, code
Data Volume:
2.5T Tokens for pre-training
Methodology:
YaRN interpolation method
Model Architecture:
Pre-trained on 2.5T tokens, uses YaRN interpolation for position encoding
Safety Evaluation 
Ethical Considerations:
Strives to ensure outputs align with ethical and legal requirements
Input Output 
Input Format:
{prompt}
Accepted Modalities:
text
LLM NameNanbeige 16B Chat GGUF
Repository ๐Ÿค—https://huggingface.co/TheBloke/Nanbeige-16B-Chat-GGUF 
Model NameNanbeige 16B Chat
Model CreatorNanbeige LLM Lab
Base Model(s)  Nanbeige 16B Chat   Nanbeige/Nanbeige-16B-Chat
Model Size16b
Required VRAM6.6 GB
Updated2025-02-22
MaintainerTheBloke
Model Typenanbeige
Model Files  6.6 GB   8.4 GB   7.7 GB   6.9 GB   9.0 GB   9.6 GB   9.0 GB   10.9 GB   11.2 GB   10.9 GB   13.0 GB   16.8 GB
Supported Languagesen zh
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Nanbeige-16B-Chat-GGUF.

Rank the Nanbeige 16B Chat GGUF 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