What are the hardware requirements for Hunyuan 0.5B Instruct FP8?

Hunyuan 0.5B Instruct FP8 requires approximately 0.7 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 FP8 and how large is it?

Hunyuan 0.5B Instruct FP8 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 FP8?

Hunyuan 0.5B Instruct FP8 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 FP8 by tencent — VRAM 0.7GB, 256K context

Name: Hunyuan 0.5B Instruct FP8
Author: tencent

Hunyuan 0.5B Instruct FP8 is an open-source language model by tencent. Features: 0.5b LLM, VRAM: 0.7GB, Context: 256K, Instruction-Based, LLM Explorer Score: 0.19.

Base model:quantized:tencent/h... Base model:tencent/hunyuan-0.5... Compressed-tensors Conversational Endpoints compatible Hunyuan v1 dense Instruct Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/tencent/Hunyuan-0.5B-Instruct-FP8

Hunyuan 0.5B Instruct FP8 Parameters and Internals

LLM Name	Hunyuan 0.5B Instruct FP8
Repository 🤗	https://huggingface.co/tencent/Hunyuan-0.5B-Instruct-FP8
Base Model(s)	tencent/Hunyuan-0.5B-Instruct tencent/Hunyuan-0.5B-Instruct
Model Size	0.5b
Required VRAM	0.7 GB
Updated	2026-08-10
Maintainer	tencent
Model Type	hunyuan_v1_dense
Instruction-Based	Yes
Model Files	0.7 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 Instruct FP8 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 Hunyuan 0.5B Instruct FP8

Best Alternatives	Context / RAM	Downloads	Likes
Hunyuan 0.5B Instruct	256K / 1.1 GB	346	57
...unyuan 0.5B Instruct GPTQ Int4	256K / 0.5 GB	25	3

Note: green Score (e.g. "73.2") means that the model is better than tencent/Hunyuan-0.5B-Instruct-FP8.