Nanbeige 16B Chat 32K GPTQ is an open-source language model by TheBloke. Features: 16b LLM, VRAM: 9.2GB, Context: 4K, License: apache-2.0, Quantized, LLM Explorer Score: 0.1.
Nanbeige 16B Chat 32K GPTQ Parameters and Internals
Model Type
Use Cases
Areas: research, commercial applications
Primary Use Cases: Q&A systems, text generation
Limitations: Potential for generating biased or harmful content
Considerations: Users should ensure outputs comply with ethical and legal standards
Additional Notes This model emphasizes safety but acknowledges potential limitations due to probabilistic outputs.
Supported Languages en (excellent), zh (excellent)
Training Details
Data Sources: internet corpus, books, code
Data Volume: 2.5 trillion tokens for pre-training
Methodology: Human-aligned training, YaRN interpolation method for position encoding
Context Length:
Input Output
Input Format:
Accepted Modalities:
Output Format:
LLM Name Nanbeige 16B Chat 32K GPTQ Repository π€ https://huggingface.co/TheBloke/Nanbeige-16B-Chat-32K-GPTQ Model Name Nanbeige 16B Chat 32K Model Creator Nanbeige LLM Lab Base Model(s) Nanbeige/Nanbeige-16B-Chat-32K Nanbeige/Nanbeige-16B-Chat-32K Model Size 16b Required VRAM 9.2 GB Updated 2026-07-20 Maintainer TheBloke Model Type nanbeige Model Files 5.0 GB: 1-of-2 4.2 GB: 2-of-2 Supported Languages en zh GPTQ Quantization Yes Quantization Type gptq Model Architecture NanbeigeForCausalLM License apache-2.0 Context Length 4096 Model Max Length 4096 Transformers Version 4.35.0 Tokenizer Class NanbeigeTokenizer Beginning of Sentence Token <s> End of Sentence Token </s> Unk Token <unk> Vocabulary Size 59392 Torch Data Type bfloat16
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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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