CMConcept Memory
Checkpoint ready
MODEL PLAYGROUND

Explore how your model
makes a judgment.

Give the model a state, ask a question, and inspect the signal behind its answer.

600 examples · synthetic · seed 42
EVALUATION SNAPSHOT

Benchmark results

600 examples · 200 per task · 2026-10-04

Concept Memory base model · 110,406,018 parameters (110.4M)109,486,464 encoder · 919,554 task heads

ModelModeAccuracyThroughputMean latencyp95 latency
Concept MemoryWith Concept Bank 94.2%22.11 ex/s45.21 ms51.29 ms
Concept MemoryWithout Concept Bank 94.2%513.67 ex/s1.94 ms3.14 ms
Qwen/Qwen2.5-32B-InstructOne-shot 100.0%5.46 ex/s183.03 ms188.15 ms
Qwen/Qwen2.5-32B-InstructLLM without one-shot 100.0%5.77 ex/s173.34 ms178.28 ms
LayaEnglish checkpoint 100.0%31.12 ex/s32.13 ms33.60 ms

Accuracy by task

Share of examples classified correctly

Concept Memory · With Concept BankConcept Memory · Without Concept BankQwen/Qwen2.5-32B-Instruct · One-shotQwen/Qwen2.5-32B-Instruct · LLM without one-shotLaya · English checkpoint
Choice
93%
93%
100%
100%
100%
NOUL
90%
90%
100%
100%
100%
Sentiment
100%
100%
100%
100%
100%
Compare accuracy by task alongside overall accuracy, throughput, and latency.cuda · batch 32

Controlled synthetic tasks. Concept Bank votes are blended only when they agree with the raw answer. Concept Bank and Laya requests were measured individually; the unassisted model and Qwen used batches. Timing depends on the recorded hardware and run.

01

Input

The context your model sees
Uses the configured checkpoint
02

Prediction

READY TO RUN
✳

Your result will appear here

Run a prediction to see the selected answer and its probability breakdown.

◈
Checkpoint/models/base_models/latest_model.pt