jangq.ai↗
JANGQ — Smaller Models, Bigger MLX Wins
Curated JANGQ benchmarks showing only decisive wins where JANG is smaller than the MLX baseline: MiniMax +47.5 MMLU points, Qwen3.5-122B +33 points, and coherent smaller-bit runs on Mistral, Qwen2.5, SmolLM2, and TinyLlama.
| Organisation | JANG — jangq.ai |
| Website | jangq.ai ↗ |
| X | @jangqai ↗ |
| Site language | English |
| Last read | 23 Sep 2026 |
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