What are the hardware requirements for Nanbeige 16B Chat GGUF?

Nanbeige 16B Chat GGUF requires approximately 6.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Nanbeige 16B Chat GGUF and how large is it?

Nanbeige 16B Chat GGUF is developed by TheBloke, a model with 16b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Nanbeige 16B Chat GGUF?

Nanbeige 16B Chat GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Nanbeige 16B Chat GGUF by TheBloke — VRAM 6.6GB

Name: Nanbeige 16B Chat GGUF
Author: TheBloke

Nanbeige 16B Chat GGUF is an open-source language model by TheBloke. Features: 16b LLM, VRAM: 6.6GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.1.

Custom code En Gguf Nanbeige Quantized Region:us Zh

Model Card on HF 🤗: https://huggingface.co/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 Name	Nanbeige 16B Chat GGUF
Repository 🤗	https://huggingface.co/TheBloke/Nanbeige-16B-Chat-GGUF
Model Name	Nanbeige 16B Chat
Model Creator	Nanbeige LLM Lab
Base Model(s)	Nanbeige 16B Chat Nanbeige/Nanbeige-16B-Chat
Model Size	16b
Required VRAM	6.6 GB
Updated	2026-07-29
Maintainer	TheBloke
Model Type	nanbeige
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 Languages	en zh
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	apache-2.0

Rank the Nanbeige 16B Chat GGUF capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Nanbeige 16B Chat GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Tinyllama Gguf 16B	0K / 2.2 GB	17	0
Llama 3 16B Instruct V0.1 GGUF	0K / 6.4 GB	502	9
Nanbeige 16B Chat 32K GGUF	0K / 6.6 GB	566	6
Nanbeige 16B Base 32K GGUF	0K / 6.6 GB	352	4
Nanbeige 16B Base GGUF	0K / 6.6 GB	200	1
Ct2fast Codegen2 16B	0K / 32.1 GB	0	1
Ct2fast Codegen 16B Mono	0K / 32.1 GB	1	2

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