SkyReels V2 T2V 14B 540P on Intel Core Ultra 7 255H / 9 285H NAS (64 GB)

Can the Intel Core Ultra 7 255H / 9 285H NAS (64 GB) run SkyReels V2 T2V 14B 540P?

Barely: it runs very slowly

Very slow. At FP8 it needs about 29.3 GB of 36.5 GB usable and takes about 3.3 h per clip.

Best precision: FP8
Memory mode: Everything on GPU
Time per clip: 3.3 h
Output: 960×544, 97 frames, 50 steps

Download SkyReels V2 T2V 14B 540P

Original weights · Hugging Face

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

huggingface.co/Skywork/SkyReels-V2-T2V-14B-540P (opens in a new tab)

No sign-in needed.

Official repo · GitHub

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

github.com/SkyworkAI/SkyReels-V2 (opens in a new tab)

git clone https://github.com/SkyworkAI/SkyReels-V2

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

How it’s rated

Quality 72Great quality (A) · 72 of 100: how capable the model is at FP8, whatever it runs on. Match score 74/100 (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 Very slow: How well it runs on the Intel Core Ultra 7 255H / 9 285H NAS (64 GB): 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.	32.6 / 45
Memory fitFull marks when the model fits in the share of the NAS’s memory that models can use (the rest stays with the NAS system and its storage services); fewer when it goes past that limit.	25.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.	1.9 / 15
Memory useRewards using the memory you have, so a bigger, better variant beats a tiny one that leaves most memory idle.	15.0 / 15
Match score	74.5 / 100

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

Every precision on the Intel Core Ultra 7 255H / 9 285H NAS (64 GB)

Quant	Memory needed	Available	Speed	Memory mode	Runs	Quality	Download
`FP16`	19.1 GB	36.5 GB	4.7 h	Sequential CPU offload	Very slowCPU offload	74Great quality (A) · 74 of 100: how capable the model is at FP16, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking.	Original weights (opens in a new tab)
`FP8`	29.3 GB	36.5 GB	3.3 h	Everything on GPU	Very slow	72Great quality (A) · 72 of 100: how capable the model is at FP8, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.	Original weights (opens in a new tab)

Other hardware that runs it

72Great quality (A) · 72 of 100: how capable the model is at FP8, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA GeForce RTX 5090 FP8 · 17.6 min · Slow (tight fit)
74Great quality (A) · 74 of 100: how capable the model is at FP16, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA RTX PRO 6000 Blackwell FP16 · 17.1 min · Slow
74Great quality (A) · 74 of 100: how capable the model is at FP16, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA GeForce RTX 4090 FP16 · 30.3 min · Slow (CPU offload)
74Great quality (A) · 74 of 100: how capable the model is at FP16, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. AMD Radeon RX 7900 XTX FP16 · 33.8 min · Slow (CPU offload)
72Great quality (A) · 72 of 100: how capable the model is at FP8, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking. AMD Radeon RX 9070 XT FP8 · 36.2 min · Slow (tight fit · CPU offload)
72Great quality (A) · 72 of 100: how capable the model is at FP8, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA GeForce RTX 5080 FP8 · 36.4 min · Slow (tight fit · CPU offload)

Quick answers

How much memory does SkyReels V2 T2V 14B 540P need on the Intel Core Ultra 7 255H / 9 285H NAS 64GB?

At FP8 it needs about 29.3 GB. The Intel Core Ultra 7 255H / 9 285H NAS 64GB has 36.5 GB usable.

How long does SkyReels V2 T2V 14B 540P take on the Intel Core Ultra 7 255H / 9 285H NAS 64GB?

About 3.3 h per clip at FP8 and default settings, an estimate scaled from a reference timing by this hardware’s compute 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.