HunyuanVideo 1.5 (8.3B) on NVIDIA RTX A1000 Laptop GPU

Can the NVIDIA RTX A1000 Laptop GPU run HunyuanVideo 1.5 (8.3B)?

No, it doesn’t fit

No. HunyuanVideo 1.5 (8.3B) needs about 23.9 GB even at FP8; the NVIDIA RTX A1000 Laptop GPU has 4.0 GB usable.

Download HunyuanVideo 1.5 (8.3B)

Original weights · Hugging Face

Full-precision files from Tencent, for fine-tuning, vLLM, Transformers, Diffusers or ComfyUI.

huggingface.co/tencent/HunyuanVideo-1.5 (opens in a new tab)

No sign-in needed.

Official repo · GitHub

Reference code, inference scripts and docs from Tencent. The weights themselves download from Hugging Face.

github.com/Tencent-Hunyuan/HunyuanVideo-1.5 (opens in a new tab)

git clone https://github.com/Tencent-Hunyuan/HunyuanVideo-1.5

Links checked 2 days ago against Hugging Face, Ollama and GitHub.

How it’s rated

Quality 82Great quality (A) · 82 of 100: how capable the model is at FP8, whatever it runs on. Match score 11/100 (quality, fit, speed and memory use) sets the ranking.: How capable the model itself is at FP8, from its editorial quality tier scaled by the quantization or precision. It’s the same on any hardware that runs this variant. Scale: A+ 85+ · A 70+ · B 55+ · C 40+ · D under 40.
Runs Won't run: How well it runs on the NVIDIA RTX A1000 Laptop GPU: speed, capped by how well it fits in memory. Runs great: 30+ tokens/s (or near the image, video or decision speed target) · Runs well: 10+ tokens/s · Slow: 3+ tokens/s · Very slow: under 3 · Won’t run: doesn’t fit even with offload. A tight fit or RAM offload caps it at Runs well; heavy offload caps it at Slow.

Match score

To order lists, each result also gets a match score out of 100 from four parts. It favors the most capable model that still runs well.

Model qualityEditorial quality tier of the model, scaled by the quantization or precision used.	11.1 / 45
Memory fitFull marks when everything sits in GPU memory; fewer when part spills to system RAM.	0.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.	0.0 / 15
Memory useRewards using the memory you have, so a bigger, better variant beats a tiny one that leaves most memory idle.	0.0 / 15
Match score	11.1 / 100

The match score orders results; it is not shown as a grade. Quality and Runs are the two ratings in the tables.

It doesn’t fit, so only a reduced share of the quality points counts and fit, speed and memory use score zero.

Every precision on the NVIDIA RTX A1000 Laptop GPU

Quant	Memory needed	Available	Speed	Memory mode	Runs	Quality	Download
`FP16`	26.8 GB	4.0 GB	—	—	Won't run	84Great quality (A) · 84 of 100: how capable the model is at FP16, whatever it runs on. Match score 11/100 (quality, fit, speed and memory use) sets the ranking.	Original weights (opens in a new tab)
`FP8`	23.9 GB	4.0 GB	—	—	Won't run	82Great quality (A) · 82 of 100: how capable the model is at FP8, whatever it runs on. Match score 11/100 (quality, fit, speed and memory use) sets the ranking.	Original weights (opens in a new tab)

Hardware that can run it

84Great quality (A) · 84 of 100: how capable the model is at FP16, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA RTX PRO 6000 Blackwell FP16 · 22.0 min · Slow
82Great quality (A) · 82 of 100: how capable the model is at FP8, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA GeForce RTX 5090 FP8 · 23.7 min · Slow (tight fit · encoder in RAM)
84Great quality (A) · 84 of 100: how capable the model is at FP16, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA H100 80GB SXM FP16 · 20.9 min · Slow
84Great quality (A) · 84 of 100: how capable the model is at FP16, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA H800 80GB SXM FP16 · 20.9 min · Slow
84Great quality (A) · 84 of 100: how capable the model is at FP16, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA H100 80GB PCIe FP16 · 25.5 min · Slow
84Great quality (A) · 84 of 100: how capable the model is at FP16, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA A100 80GB PCIe FP16 · 31.3 min · Slow

Models that do run on the NVIDIA RTX A1000 Laptop GPU

35Basic quality (D) · 35 of 100: how capable the model is at FP16, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. AnimateDiff v3 (SD 1.5) FP16 · 2.6 min

Quick answers

How much memory does HunyuanVideo 1.5 (8.3B) need on the NVIDIA RTX A1000 Laptop GPU 4GB?

Even at FP8 it needs about 23.9 GB; the NVIDIA RTX A1000 Laptop GPU 4GB has 4.0 GB usable.

What can the NVIDIA RTX A1000 Laptop GPU 4GB run instead?

AnimateDiff v3 (SD 1.5) runs best on it; the page lists more, each with its speed.

What hardware can run HunyuanVideo 1.5 (8.3B)?

NVIDIA RTX PRO 6000 Blackwell 96GB, RTX 5090 32GB and NVIDIA H100 80GB SXM run it; the page lists more, each with its speed.

Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.