Nanbeige 16B Base 32K GPTQ by TheBloke

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  4-bit   Autotrain compatible Base model:nanbeige/nanbeige-1... Base model:quantized:nanbeige/...   Custom code   En   Gptq   Nanbeige   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Zh

Nanbeige 16B Base 32K GPTQ 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 Base 32K GPTQ (TheBloke/Nanbeige-16B-Base-32K-GPTQ)
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Nanbeige 16B Base 32K GPTQ Parameters and Internals

Model Type 
nanbeige
Use Cases 
Limitations:
May generate unexpected outputs including harmful content such as bias or discrimination
Supported Languages 
en (English), zh (Chinese)
Training Details 
Data Sources:
high-quality internet corpus, various books, code
Data Volume:
2.5T Tokens
Methodology:
YaRN interpolation for position encoding, full parameter incremental pre-training with 20B tokens
Context Length:
32000
LLM NameNanbeige 16B Base 32K GPTQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/Nanbeige-16B-Base-32K-GPTQ 
Model NameNanbeige 16B Base 32K
Model CreatorNanbeige LLM Lab
Base Model(s)  Nanbeige/Nanbeige-16B-Base-32K   Nanbeige/Nanbeige-16B-Base-32K
Model Size16b
Required VRAM9.2 GB
Updated2025-08-31
MaintainerTheBloke
Model Typenanbeige
Model Files  5.0 GB: 1-of-2   4.2 GB: 2-of-2
Supported Languagesen zh
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureNanbeigeForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.35.2
Tokenizer ClassNanbeigeTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size59392
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Nanbeige-16B-Base-32K-GPTQ.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124