LFM2-24B-A2B Behavioral Fingerprint
How LiquidAI's LFM2-24B-A2B answers one-word probe questions at temperature 1.0 — random numbers, colors, animals, coin flips — measured over 448 valid samples in the open dataset of "One Token Is Enough" (arXiv:2607.10252).
Vendor
LiquidAI
Data generated
2026-07-08
Probe cells
15
Valid samples
448
Randomness score
17 / 100
Mean normalized entropy across cells, 0–100. 100 would be a uniform-random baseline; real models score far lower.
Signature answers
Favorite random number (1–100)
42
30 / 30 answers
Favorite color
blue
30 / 30 answers
Coin flip: heads
97%
Share of heads across coin-flip cells.
Answer distributions by probe cell
Empirical distributions of normalized one-word answers, per task and language. H is the Shannon entropy in bits; the uniform baseline is log2 of the answer-domain size.
Coin flip · English
n = 30 · H = 0.35 bit · uniform baseline 1.00 bit
| Answer | Count | Share |
|---|---|---|
| heads | 28 | 93.3% |
| tails | 2 | 6.7% |
Coin flip · Chinese
n = 30 · H = 0.00 bit · uniform baseline 1.00 bit
| Answer | Count | Share |
|---|---|---|
| heads | 30 | 100.0% |
Favorite number · English
n = 30 · H = 0.56 bit · uniform baseline 13.29 bit
| Answer | Count | Share |
|---|---|---|
| 7 | 27 | 90.0% |
| 42 | 2 | 6.7% |
| 3 | 1 | 3.3% |
Favorite number · Chinese
n = 30 · H = 0.00 bit · uniform baseline 13.29 bit
| Answer | Count | Share |
|---|---|---|
| 7 | 30 | 100.0% |
Random animal · English
n = 30 · H = 2.14 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| giraffe | 11 | 36.7% |
| kangaroo | 11 | 36.7% |
| elephant | 3 | 10.0% |
| turtle | 2 | 6.7% |
| flamingo | 1 | 3.3% |
| ferret | 1 | 3.3% |
| tortoise | 1 | 3.3% |
Random animal · Chinese
n = 29 · H = 2.97 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| 熊猫 | 7 | 24.1% |
| 猫 | 6 | 20.7% |
| 狐狸 | 4 | 13.8% |
| 狮子 | 3 | 10.3% |
| 大象 | 3 | 10.3% |
| 熊 | 2 | 6.9% |
| 象 | 1 | 3.4% |
| 袋熊 | 1 | 3.4% |
+ 2 more answers
Random city · English
n = 30 · H = 0.97 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| paris | 24 | 80.0% |
| tokyo | 4 | 13.3% |
| oslo | 1 | 3.3% |
| osaka | 1 | 3.3% |
Random city · Chinese
n = 30 · H = 2.07 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| 巴黎 | 17 | 56.7% |
| 东京 | 5 | 16.7% |
| 柏林 | 2 | 6.7% |
| 伦敦 | 2 | 6.7% |
| 京都 | 1 | 3.3% |
| sydney | 1 | 3.3% |
| 北京 | 1 | 3.3% |
| 哥本哈根 | 1 | 3.3% |
Random color · English
n = 30 · H = 0.00 bit · uniform baseline 4.91 bit
| Answer | Count | Share |
|---|---|---|
| blue | 30 | 100.0% |
Random color · Chinese
n = 30 · H = 0.00 bit · uniform baseline 4.91 bit
| Answer | Count | Share |
|---|---|---|
| 蓝 | 30 | 100.0% |
Random letter · English
n = 29 · H = 2.79 bit · uniform baseline 4.70 bit
| Answer | Count | Share |
|---|---|---|
| q | 8 | 27.6% |
| x | 5 | 17.2% |
| g | 5 | 17.2% |
| k | 3 | 10.3% |
| m | 2 | 6.9% |
| j | 2 | 6.9% |
| t | 2 | 6.9% |
| s | 2 | 6.9% |
Random number 1-10 · English
n = 30 · H = 0.00 bit · uniform baseline 3.32 bit
| Answer | Count | Share |
|---|---|---|
| 7 | 30 | 100.0% |
Random number 1-10 · Chinese
n = 30 · H = 0.00 bit · uniform baseline 3.32 bit
| Answer | Count | Share |
|---|---|---|
| 7 | 30 | 100.0% |
Random number 1-100 · English
n = 30 · H = 0.00 bit · uniform baseline 6.64 bit
| Answer | Count | Share |
|---|---|---|
| 42 | 30 | 100.0% |
Random number 1-100 · Chinese
n = 30 · H = 0.42 bit · uniform baseline 6.64 bit
| Answer | Count | Share |
|---|---|---|
| 42 | 28 | 93.3% |
| 7 | 1 | 3.3% |
| 73 | 1 | 3.3% |
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Distributions: Tomáš Bruckner, "One Token Is Enough" (arXiv:2607.10252), official dataset Zenodo DOI 10.5281/zenodo.21278557, licensed CC-BY-4.0. Collected via OpenRouter at temperature 1.0 under the paper's fixed minimal one-word system prompt; answer keys are re-normalized with the checker's pipeline (color aliases, number words, coin h/t) so live probes are directly comparable.