What are the hardware requirements for Hunyuan A13B Instruct FP8?

Hunyuan A13B Instruct FP8 requires approximately 81 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Hunyuan A13B Instruct FP8 and how large is it?

Hunyuan A13B Instruct FP8 is developed by tencent, a model with 80.4b 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 A13B Instruct FP8?

Hunyuan A13B Instruct FP8 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Hunyuan A13B Instruct FP8 by tencent — VRAM 81GB, 32K context

Name: Hunyuan A13B Instruct FP8
Author: tencent

Hunyuan A13B Instruct FP8 is an open-source language model by tencent. Features: 80.4b LLM, VRAM: 81GB, Context: 32K, License: other, Instruction-Based, LLM Explorer Score: 0.2.

Conversational Custom code Endpoints compatible Fp8 Hunyuan Instruct Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/tencent/Hunyuan-A13B-Instruct-FP8

Hunyuan A13B Instruct FP8 Parameters and Internals

LLM Name	Hunyuan A13B Instruct FP8
Repository 🤗	https://huggingface.co/tencent/Hunyuan-A13B-Instruct-FP8
Model Size	80.4b
Required VRAM	81 GB
Updated	2026-08-08
Maintainer	tencent
Model Type	hunyuan
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-17 5.0 GB: 2-of-17 5.0 GB: 3-of-17 5.0 GB: 4-of-17 5.0 GB: 5-of-17 5.0 GB: 6-of-17 5.0 GB: 7-of-17 5.0 GB: 8-of-17 5.0 GB: 9-of-17 5.0 GB: 10-of-17 5.0 GB: 11-of-17 5.0 GB: 12-of-17 5.0 GB: 13-of-17 5.0 GB: 14-of-17 5.0 GB: 15-of-17 5.0 GB: 16-of-17 1.0 GB: 17-of-17
Model Architecture	HunYuanMoEV1ForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.41.2
Tokenizer Class	HYTokenizer
Padding Token	<\|pad\|>
Vocabulary Size	128167
Torch Data Type	bfloat16

Rank the Hunyuan A13B 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 A13B Instruct FP8

Best Alternatives	Context / RAM	Downloads	Likes
Hunyuan A13B Instruct	256K / 161.1 GB	38	2
Hunyuan A13B Instruct	32K / 161.1 GB	50352	795
Hunyuan A13B Instruct Hf	32K / 160.8 GB	9	6
Hunyuan A13B Instruct 4bit	32K / 45.4 GB	97	4
Hunyuan A13B Instruct 5bit	32K / 55.8 GB	73	3
...unyuan A13B Instruct GPTQ Int4	32K / 42.7 GB	271	53

Note: green Score (e.g. "73.2") means that the model is better than tencent/Hunyuan-A13B-Instruct-FP8.