TokenRhythm/NeoHorse-1-9B — new model trending #30 on Hugging Face

TokenRhythm released NeoHorse-1-9B, an Apache-2.0 9B model post-trained from Qwen3.5-9B with routing-guided agentic post-training toward recursive self-improvement.

TokenRhythm open-sourced NeoHorse-1-9B, a roughly 9B-parameter causal language model fine-tuned from Qwen3.5-9B for agent harnesses, tool use, coding, and instruction following, under Apache-2.0, with a technical report on arXiv (2609.08183). The release contains text-only weights; vision weights are excluded, and repackaging changes configuration and tensor key names without altering tensor values. Its routing harness assigns tasks to a heterogeneous model pool, records tool interactions, and uses capability-level feedback to shape the next training mixture, prototyping an evaluation-selection-update loop toward recursive self-improvement. It scores a 69.04 macro average across ten benchmarks versus 65.60 for the base Qwen3.5-9B (+3.44).