What are the hardware requirements for Nanbeige 16B Chat?

Nanbeige 16B Chat requires approximately 31.6 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

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

How does Nanbeige 16B Chat perform on standard benchmarks?

Nanbeige 16B Chat has the following published scores: MMLU 59.3. Compare against reference models on this page or on the LLM Explorer leaderboards.

Nanbeige 16B Chat by Nanbeige — VRAM 31.6GB, 4K context

Name: Nanbeige 16B Chat
Rating: 3.75 (8 reviews)
Author: Nanbeige

Nanbeige 16B Chat is an open-source language model by Nanbeige. Features: 16b LLM, VRAM: 31.6GB, Context: 4K, License: other, LLM Explorer Score: 0.09, Arc: 91.2, HellaSwag: 75.8, MMLU: 59.3, GSM8K: 49.8.

Autotrain compatible Custom code En Endpoints compatible Llama Nanbeige Region:us Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/Nanbeige/Nanbeige-16B-Chat

Nanbeige 16B Chat Parameters and Internals

Model Type

text-generation, chat

Use Cases

Areas:

Research, Commercial applications (with license)

Applications:

Text generation, Dialogue systems

Primary Use Cases:

Chat dialogue, possibly others based on fine-tuning and continuation work

Limitations:

Potential for biased or unexpected outputs

Considerations:

Model's size and probabilistic nature.

Additional Notes

Contact via the provided email to apply for commercial usage licensing.

Supported Languages

en (English), zh (Chinese)

Training Details

Data Sources:

Large amount of high-quality internet corpus, Various books, Code and other desensitized text

Data Volume:

2.5T Tokens

Methodology:

YaRN interpolation method, human-aligned training

Responsible Ai Considerations

Mitigation Strategies:

Ensuring outputs meet ethical and legal requirements to minimize bias and harmful content.

Input Output

Input Format:

Expected input for chat dialogue

Accepted Modalities:

text

Output Format:

Text output

LLM Name	Nanbeige 16B Chat
Repository 🤗	https://huggingface.co/Nanbeige/Nanbeige-16B-Chat
Model Size	16b
Required VRAM	31.6 GB
Updated	2025-06-03
Maintainer	Nanbeige
Model Type	llama
Model Files	4.9 GB: 1-of-7 4.9 GB: 2-of-7 4.9 GB: 3-of-7 5.0 GB: 4-of-7 5.0 GB: 5-of-7 4.9 GB: 6-of-7 2.0 GB: 7-of-7
Supported Languages	en zh
Model Architecture	LlamaForCausalLM
License	other
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

Rank the Nanbeige 16B Chat 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

Quantized Models of the Nanbeige 16B Chat

Model	Likes	Downloads	VRAM
Nanbeige 16B Chat GGUF	1	159	6 GB
Nanbeige 16B Chat GPTQ	1	6	9 GB

Best Alternatives to Nanbeige 16B Chat

Best Alternatives	Context / RAM	Downloads	Likes
...r SMB R1 Distill Llama 3.1 16B	128K / 32 GB	6	1
Phi 3.5 Mini Investigator 16B	128K / 7.6 GB	7	0
...aid Blackroot Grand HORROR 16B	8K / 33.8 GB	14	0
...aid Blackroot Grand HORROR 16B	8K / 33.8 GB	30	0
...o Sft Ties Post Merge Auto DPO	8K / 141.2 GB	15	0
Nanbeige2 16B Chat	4K / 31.6 GB	9881	0
Nanbeige 16B Base Llama	4K / 31.6 GB	9946	4
...ALAXY V03 Slimorca 1 Epoch 50k	4K / 31.8 GB	80	0
...ca 1 Epoch 50k DPO 1 Epoch 30k	4K / 31.8 GB	78	0
GALAXY XB V.03	4K / 31.9 GB	81	0

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