What are the hardware requirements for Hunyuan 0.5B Pretrain?

Hunyuan 0.5B Pretrain 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 Pretrain and how large is it?

Hunyuan 0.5B Pretrain 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 Pretrain?

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

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

Name: Hunyuan 0.5B Pretrain
Author: tencent

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

Conversational Endpoints compatible Hunyuan v1 dense Region:us Safetensors

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

Hunyuan 0.5B Pretrain Parameters and Internals

LLM Name	Hunyuan 0.5B Pretrain
Repository 🤗	https://huggingface.co/tencent/Hunyuan-0.5B-Pretrain
Model Size	0.5b
Required VRAM	1.1 GB
Updated	2026-08-08
Maintainer	tencent
Model Type	hunyuan_v1_dense
Model Files	1.1 GB
Model Architecture	HunYuanDenseV1ForCausalLM
Context Length	262144
Model Max Length	262144
Transformers Version	4.52.4
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<｜hy_▁pad▁｜>
Vocabulary Size	120818
Torch Data Type	bfloat16

Rank the Hunyuan 0.5B Pretrain 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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