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NeoHorse-1-4B

TokenRhythm

/* 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-1-4B is a 4B causal language model and an initial prototype on the path toward **recursive self-improvement (RSI)**. It is post-trained from Qwen3.5-4B for text-based agent harnesses, tool use, coding, and instruction following. Derived from Qwen/Qwen3.5-4B and fine-tuned by TokenRhythm. This release contains **language-model weights only** and is repackaged for text-only inference. Vision weights are not included. Repackaging changes configuration and tensor key names, without changing the fine-tuned tensor values.

Text generation
Input Text→ Output Text
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NeoHorse-1-4B-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-1-4B is a 4B causal language model and an initial prototype on the path toward **recursive self-improvement (RSI)**. It is post-trained from Qwen3.5-4B for text-based agent harnesses, tool use, coding, and instruction following.

Text generation
Input Text→ Output Text
Price not verifiedCheck multimodal and channel pricing separately
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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.

Text generation
Input Text→ Output Text
Price not verifiedCheck multimodal and channel pricing separately
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NeoHorse-Jev-4B

TokenRhythm

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

Basic profile indexed · More details to follow

Text analysis
Input Text→ Output Text
Price not verifiedCheck multimodal and channel pricing separately
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Source / docs ↗
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Separate input, output and cache rates, then estimate the same workload. Image, audio and video rates may use items, duration or resolution rather than tokens.

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