What are the hardware requirements for Hy4 Preview BF16 GGUF?

Hy4 Preview BF16 GGUF requires approximately 752.7 GB of VRAM and supports a context window of 1024K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Hy4 Preview BF16 GGUF and how large is it?

Hy4 Preview BF16 GGUF is developed by AMAImedia, a model with 780b 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 Hy4 Preview BF16 GGUF?

Hy4 Preview BF16 GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Hy4 Preview BF16 GGUF by AMAImedia — VRAM 752.7GB, 1024K context

Name: Hy4 Preview BF16 GGUF
Author: AMAImedia

Hy4 Preview BF16 GGUF is an open-source language model by AMAImedia. Features: 780b LLM, VRAM: 752.7GB, Context: 1024K, License: apache-2.0, Quantized.

Arxiv:2512.02556 Arxiv:2603.12201 Base model:quantized:tencent/h... Base model:tencent/hy4-preview Conversational En Endpoints compatible Gguf Hunyuan Hy4 Hy4-preview Hy v4 Image-text-to-text Imatrix Ja Kk Moe Quantized Region:us Ru Safetensors Sharded Tencent Tensorflow Vi Zh

Model Card on HF 🤗: https://huggingface.co/AMAImedia/Hy4-preview-BF16-GGUF

Hy4 Preview BF16 GGUF Parameters and Internals

LLM Name	Hy4 Preview BF16 GGUF
Repository 🤗	https://huggingface.co/AMAImedia/Hy4-preview-BF16-GGUF
Base Model(s)	Hy4 Preview tencent/Hy4-preview
Model Size	780b
Required VRAM	752.7 GB
Updated	2026-09-11
Maintainer	AMAImedia
Model Type	hy_v4
Model Files	19.3 GB: 1-of-131 19.3 GB: 2-of-131 19.3 GB: 3-of-131 19.3 GB: 4-of-131 19.3 GB: 5-of-131 19.3 GB: 6-of-131 19.3 GB: 7-of-131 19.3 GB: 8-of-131 19.3 GB: 9-of-131 19.3 GB: 10-of-131 19.3 GB: 11-of-131 19.3 GB: 12-of-131 19.3 GB: 13-of-131 19.3 GB: 14-of-131 19.3 GB: 15-of-131 19.3 GB: 16-of-131 19.3 GB: 17-of-131 19.3 GB: 18-of-131 19.3 GB: 19-of-131 19.3 GB: 20-of-131 19.3 GB: 21-of-131 19.3 GB: 22-of-131 19.3 GB: 23-of-131 19.3 GB: 24-of-131 19.3 GB: 25-of-131 19.3 GB: 26-of-131 19.3 GB: 27-of-131 19.3 GB: 28-of-131 19.3 GB: 29-of-131 19.3 GB: 30-of-131 19.3 GB: 31-of-131 19.3 GB: 32-of-131 19.3 GB: 33-of-131 19.3 GB: 34-of-131 19.3 GB: 35-of-131 19.3 GB: 36-of-131 19.3 GB: 37-of-131 19.3 GB: 38-of-131 19.3 GB: 39-of-131
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	HYV4ForCausalLM
License	apache-2.0
Context Length	1048576
Model Max Length	1048576
Transformers Version	5.16.2
Vocabulary Size	120832
Torch Data Type	bfloat16

Rank the Hy4 Preview BF16 GGUF 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 Hy4 Preview BF16 GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Hy4 Preview	1024K / 772 GB	1394	277
Hy4 Preview	1024K / 752.7 GB	1810	0

Note: green Score (e.g. "73.2") means that the model is better than AMAImedia/Hy4-preview-BF16-GGUF.