What are the hardware requirements for Hunyuan 0.5B Instruct?

Hunyuan 0.5B Instruct requires approximately 1.1 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Hunyuan 0.5B Instruct and how large is it?

Hunyuan 0.5B Instruct is developed by tencent, a model with 0.5b 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 Hunyuan 0.5B Instruct?

Hunyuan 0.5B Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Hunyuan 0.5B Instruct by tencent — VRAM 1.1GB, 256K context

Name: Hunyuan 0.5B Instruct
Author: tencent

Hunyuan 0.5B Instruct is an open-source language model by tencent. Features: 0.5b LLM, VRAM: 1.1GB, Context: 256K, Instruction-Based, LLM Explorer Score: 0.21.

Base model:finetune:tencent/hu... Base model:tencent/hunyuan-0.5... Conversational Endpoints compatible Hunyuan v1 dense Instruct Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/tencent/Hunyuan-0.5B-Instruct

Hunyuan 0.5B Instruct Parameters and Internals

LLM Name	Hunyuan 0.5B Instruct
Repository 🤗	https://huggingface.co/tencent/Hunyuan-0.5B-Instruct
Base Model(s)	tencent/Hunyuan-0.5B-Pretrain tencent/Hunyuan-0.5B-Pretrain
Model Size	0.5b
Required VRAM	1.1 GB
Updated	2026-08-06
Maintainer	tencent
Model Type	hunyuan_v1_dense
Instruction-Based	Yes
Model Files	1.1 GB
Model Architecture	HunYuanDenseV1ForCausalLM
Context Length	262144
Model Max Length	262144
Transformers Version	4.41.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<｜hy_▁pad▁｜>
Vocabulary Size	120818
Torch Data Type	bfloat16

Rank the Hunyuan 0.5B Instruct 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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