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Can the BeagleBone AI-64 (4 GB) run LemonDecider 4B?

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.

No, it doesn’t fit

No. LemonDecider 4B needs about 6.5 GB even at Q8_0; the BeagleBone AI-64 (4 GB) has 2.8 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)

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Links checked 6 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 BeagleBone AI-64 (4 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 everything sits in GPU memory; fewer when part spills to system RAM.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 score10.8 / 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 BeagleBone AI-64 (4 GB)

Quant Memory needed Available Speed Runs Quality Download
Q8_0 6.5 GB 2.8 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 2.8 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

Models that do run on the BeagleBone AI-64 (4 GB)

Quick answers

How much memory does LemonDecider 4B need on the BeagleBone AI-64 4GB?

Even at Q8_0 it needs about 6.5 GB; the BeagleBone AI-64 4GB has 2.8 GB usable.

What can the BeagleBone AI-64 4GB run instead?

Jina Reranker v3.5, Jina Reranker v3 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.

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