SCAIL-2 14B (character animation) on Intel Celeron J3455 / N3450 (Apollo Lake) NAS (8 GB)

Can the Intel Celeron J3455 / N3450 (Apollo Lake) NAS (8 GB) run SCAIL-2 14B (character animation)?

No, it doesn’t fit

No. SCAIL-2 14B (character animation) needs about 12.5 GB even at FP8; the Intel Celeron J3455 / N3450 (Apollo Lake) NAS (8 GB) has 5.2 GB usable.

Download SCAIL-2 14B (character animation)

Original weights · Hugging Face

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

huggingface.co/zai-org/SCAIL-2 (opens in a new tab)

No sign-in needed.

Official repo · GitHub

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

github.com/zai-org/SCAIL-2 (opens in a new tab)

git clone https://github.com/zai-org/SCAIL-2

Links checked 6 days ago against Hugging Face, Ollama and GitHub.

How it’s rated

Quality 78Great quality (A) · 78 of 100: how capable the model is at FP8, whatever it runs on. Match score 10/100 (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 Intel Celeron J3455 / N3450 (Apollo Lake) NAS (8 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.	10.6 / 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.	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	10.6 / 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 Intel Celeron J3455 / N3450 (Apollo Lake) NAS (8 GB)

Quant	Memory needed	Available	Speed	Memory mode	Runs	Quality	Download
`FP16`	18.3 GB	5.2 GB	—	—	Won't run	80Great quality (A) · 80 of 100: how capable the model is at FP16, whatever it runs on. Match score 10/100 (quality, fit, speed and memory use) sets the ranking.	Original weights (opens in a new tab)
`FP8`	12.5 GB	5.2 GB	—	—	Won't run	78Great quality (A) · 78 of 100: how capable the model is at FP8, whatever it runs on. Match score 10/100 (quality, fit, speed and memory use) sets the ranking.	Original weights (opens in a new tab)

Hardware that can run it

78Great quality (A) · 78 of 100: how capable the model is at FP8, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA B200 FP8 · 11.0 min · Runs well
80Great quality (A) · 80 of 100: how capable the model is at FP16, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA RTX PRO 6000 Blackwell FP16 · 14.7 min · Slow
78Great quality (A) · 78 of 100: how capable the model is at FP8, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA GeForce RTX 5090 FP8 · 15.1 min · Slow (tight fit)
80Great quality (A) · 80 of 100: how capable the model is at FP16, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. AMD Ryzen AI Max+ 395 (128 GB) FP16 · 38.4 min · Slow
78Great quality (A) · 78 of 100: how capable the model is at FP8, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA RTX Spark N1X (6144-core GPU) (128 GB) FP8 · 39.7 min · Slow
78Great quality (A) · 78 of 100: how capable the model is at FP8, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA GB10 (128 GB) FP8 · 37.5 min · Slow

Models that do run on the Intel Celeron J3455 / N3450 (Apollo Lake) NAS (8 GB)

35Basic quality (D) · 35 of 100: how capable the model is at FP16, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking. AnimateDiff v3 (SD 1.5) FP16 · 3.8 h
49Fair quality (C) · 49 of 100: how capable the model is at FP8, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking. LTX-Video 2B FP8 · 5.6 h
44Fair quality (C) · 44 of 100: how capable the model is at FP8, whatever it runs on. Match score 45/100 (quality, fit, speed and memory use) sets the ranking. CogVideoX 2B FP8 · 13.3 h

Quick answers

How much memory does SCAIL-2 14B (character animation) need on the Intel Celeron J3455 / N3450 (Apollo Lake) NAS 8GB?

Even at FP8 it needs about 12.5 GB; the Intel Celeron J3455 / N3450 (Apollo Lake) NAS 8GB has 5.2 GB usable.

What can the Intel Celeron J3455 / N3450 (Apollo Lake) NAS 8GB run instead?

AnimateDiff v3 (SD 1.5), LTX-Video 2B and CogVideoX 2B run best on it; the page lists more, each with its speed.

What hardware can run SCAIL-2 14B (character animation)?

NVIDIA B200 180GB, NVIDIA RTX PRO 6000 Blackwell 96GB and RTX 5090 32GB 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.