Liberated-Qwen1.5-14B: benchmark results

Abacus.AI's Liberated-Qwen1.5-14B, an uncensored fine-tune of Qwen1.5-14B at 8K sequence length, trained on the SystemChat dataset for system-prompt compliance across long multi-turn conversations. Provider: Abacus.AI. Released 2024-04-01. Access: Open.

Aggregate Rating 1430 ± 18, rank #1097 of 1656 rated models, from 32 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
Open Medical LLM - MMLU College Medicine68.21Accuracy (%)87
Open Korean LLM - Ko-GSM8K (flexible extract)49.58Exact match, flexible extract (%)83.3
Open Ko-LLM Leaderboard41.37Average (%)82.4
Open Korean LLM Leaderboard41.37Average Score (%)82.4
Open Korean LLM - Ko-EQ-Bench32.75EQ-Bench score82.1
Open Portuguese LLM - ASSIN2 RTE92.52Macro F1 (%)80
Open Medical LLM - MMLU Clinical Knowledge73.96Accuracy (%)69.3
Open Medical LLM - MMLU Professional Medicine72.79Accuracy (%)66.4
Open LLM Leaderboard - MATH Level 516.01Score63.8
Open Korean LLM - Ko-IFEval32.59Strict accuracy, prompt/instruction mean (%)63.2
Open Medical LLM - MMLU Anatomy64.44Accuracy (%)62.8
Open Korean LLM - KorNAT-Helpful47.65Normalized accuracy (%)58.3

Interactive version: theaggregate.ai/model?slug=liberated-qwen1-5-14b · How It Works · Data refreshed daily, snapshot 2026-10-20.