LemonDecider 4B on Intel Core Ultra 5 225 / 7 265 / 9 285 (desktop) NAS (8 GB)

Can the Intel Core Ultra 5 225 / 7 265 / 9 285 (desktop) NAS (8 GB) run LemonDecider 4B?

No, it doesn’t fit

No. LemonDecider 4B needs about 6.5 GB even at Q8_0; the Intel Core Ultra 5 225 / 7 265 / 9 285 (desktop) NAS (8 GB) has 5.2 GB usable.

Download LemonDecider 4B

Original weights · Hugging Face

Full-precision files from Ant Group (inclusionAI), for Transformers, Sentence Transformers, Text Embeddings Inference, Infinity or vLLM.

huggingface.co/inclusionAI/LemonDecider (opens in a new tab)

No sign-in needed.

Links checked 7 days ago against Hugging Face, Ollama and GitHub.

How it’s rated

Quality 80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 10/100 (quality, fit, speed and memory use) sets the ranking.: How capable the model itself is at Q8_0, 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 Core Ultra 5 225 / 7 265 / 9 285 (desktop) 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.

PrecisionEditorial precision tier from the model’s published benchmarks, scaled by the quantization or precision used.	10.8 / 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
SpeedTime for one decision against a 100 ms target: reading the input plus any tokens the model writes.	0.0 / 15
ClarityHow easy the answer is to use in code: a probability or score earns the most, written feedback before a score the least.	0.0 / 15
Match score	10.8 / 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 quantization on the Intel Core Ultra 5 225 / 7 265 / 9 285 (desktop) NAS (8 GB)

Quant	Memory needed	Available	Speed	Runs	Quality	Download
`Q8_0`	6.5 GB	5.2 GB	—	Won't run	80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 10/100 (quality, fit, speed and memory use) sets the ranking.	All files (opens in a new tab)
`F16`	10.8 GB	5.2 GB	—	Won't run	80Great quality (A) · 80 of 100: how capable the model is at F16, whatever it runs on. Match score 10/100 (quality, fit, speed and memory use) sets the ranking.	Original weights (opens in a new tab)

Times are for one request with a 256-token input. Batching servers process many requests at once.

Hardware that can run it

80Great quality (A) · 80 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. AMD Radeon RX 7900 XTX F16 · 23 ms · Runs great
80Great quality (A) · 80 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. AMD Radeon RX 9070 XT F16 · 28 ms · Runs great
80Great quality (A) · 80 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. AMD Ryzen AI Max+ 395 (128 GB) F16 · 43 ms · Runs great
80Great quality (A) · 80 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. Apple M2 Ultra (192 GB) F16 · 90 ms · Runs great
80Great quality (A) · 80 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. Apple M3 Ultra (256 GB) F16 · 87 ms · Runs great
80Great quality (A) · 80 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. Apple M3 Ultra (512 GB) F16 · 87 ms · Runs great

Models that do run on the Intel Core Ultra 5 225 / 7 265 / 9 285 (desktop) NAS (8 GB)

78Great quality (A) · 78 of 100: how capable the model is at F16, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking. OpenAI Privacy Filter F16 · 37 ms
68Good quality (B) · 68 of 100: how capable the model is at F16, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking. Llama Prompt Guard 2 22M F16 · 99 ms
80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. GLiNER2.5 Decide Q8_0 · 288 ms
86Excellent quality (A+) · 86 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. Jina Reranker v3.5 Q8_0 · 657 ms
66Good quality (B) · 66 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking. GLiClass Base v3 Q8_0 · 114 ms

Quick answers

How much memory does LemonDecider 4B need on the Intel Core Ultra 5 225 / 7 265 / 9 285 (desktop) NAS 8GB?

Even at Q8_0 it needs about 6.5 GB; the Intel Core Ultra 5 225 / 7 265 / 9 285 (desktop) NAS 8GB has 5.2 GB usable.

What can the Intel Core Ultra 5 225 / 7 265 / 9 285 (desktop) NAS 8GB run instead?

OpenAI Privacy Filter, Llama Prompt Guard 2 22M and GLiNER2.5 Decide run best on it; the page lists more, each with its speed.

What hardware can run LemonDecider 4B?

RX 7900 XTX 24GB, RX 9070 XT 16GB and AMD Ryzen AI Max+ 395 128GB 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.