Model overview
NeoHorse-1-9B-GGUF Towards Recursive Self-Improvement via Agentic Post-Training with Routing Harness. /* Reusable benchmark table architecture. Inline styles remain as a fallback for HF rendering. */ .vl-table { width: 100%; min-width: 100%; border-collapse: collapse; table-layout: fixed; font-size: 15px; } .vl-table th { font-size: 15px !important; line-height: 1.2; color: #c2410c; background: rgba(249,115,22,.10); } .vl-table td:not(.benchmark-cell):not([colspan]) { font-size: 15px; line-height: 1.2; vertical-align: middle; } .vl-table .benchmark-cell { padding: 12px 10px 12px 18px !important; vertical-align: middle; } .vl-table .benchmark-capability { font-size: 15px; font-weight: 600; line-height: 1.22; color: #c2410c; } .vl-table .benchmark-name { margin-top: 4px; font-size: 11px; font-weight: 400; line-height: 1.2; color: inherit; } .vl-table .metric-stack { display: flex; flex-direction: column; gap: 7px; padding: 3px 0; } .vl-table .metric-label { font-size: 10px; font-weight: 400; line-height: 1.1; color: inherit; } .vl-table .metric-value { margin-top: 2px; font-size: 15px; line-height: 1.15; color: inherit; } .model-table td:first-child { width: 34%; font-weight: 600; } /* HF's theme toggle sets the dark class on an ancestor. */ .dark .vl-table th, .dark .vl-table .benchmark-capability { color: #fdba74 !important; } NeoHorse-1-9B is a 9B causal language model and an initial prototype on the path toward **recursive self-improvement (RSI)**. It is post-trained from Qwen3.5-9B for text-based agent harnesses, tool use, coding, and instruction following.
Key features
特点摘要待依据来源补齐，不凭模型名称推断能力。
Limitations & considerations
Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.
Source prices & cost analysis
Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.
| Source / channel | Input | Output | Billing unit | Collected at |
|---|---|---|---|---|
| No verified prices yet. Check the source channel. | ||||
Estimate monthly base token costs
Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.
Public benchmarks & run configuration
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
View full indexed rankings →Frequently asked questions
Do open weights permit free commercial use?
Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.
Are these real-time billing prices?
These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.
Sources & traceability
许可证：apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。