CUSTOM MODEL
Keural Cortex 8B v1.0
Korean–English · instruction and tool tuning
REPRODUCIBLE MODEL EVALUATION
Seven-category short evaluation · NVIDIA DGX Spark · BF16
Same requests, schemas and output budget; explicitly different serialization.
CUSTOM MODEL
Korean–English · instruction and tool tuning
COMPARATOR
Original pretrained baseline
Pending results stay blank. No results are inferred or filled from published leaderboards.
| Benchmark / subtask | Cortex v1.0 | Qwen3-8B-Base | Difference | Coverage / metric |
|---|
Standard tasks use matching completion prompts. Chat, tools and context use the same plain transcript on both models. Actual input lengths reserve output space. 64K is a Cortex-only extension, not a paired win. Synthetic probes are not standardized capability certifications.
Frozen standard samples and bilingual enterprise fixtures; 64K is a Cortex-only extension. Download public audit pack
Current or most recent evaluation job
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Keep the comparison protocol visible alongside the scores.
Standard benchmarks use identical raw completion prompts, few-shot counts and frozen sample indices on both models. Up to 50 samples per leaf task; budgeted coverage, not complete test splits.
Cortex uses its native template. Qwen3-8B-Base uses a plain transcript. Same requests and schemas, greedy decoding, 128-token cap and repetition penalty 1.0. No Instruct weights.
1,280 synthetic domain fixtures per model, plus context cases; not independently authored holdout. Schema, tool choice and limited argument checks are saved separately. No overall winner or statistical claim.
| Model / track | Job | State | Settings |
|---|