TokenRhythm/NeoHorse-1-9B
text-generation model by TokenRhythm
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Model card & documentation
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NeoHorse-1-9B Towards Recursive Self-Improvement via Agentic Post-Training with Routing Harness. Technical Report 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. Derived from Qwen/Qwen3.5-9B 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. Property Value Model family NeoHorse Agent-Native Causal Language Model Parameters Approximately 9B Base model Qwen3.5-9B Post-training Routing-guided agentic post-training Interface Text input and text output Context length 262,144 natively and extensible up to 1,010,000 tokens. Weight format / precision Safetensors / BF16 The 9B track compares NeoHorse-1-9B with five representative open-weight baselines: Granite-4.2-8B, Qwen3.5-9B, Ornith-1.5-9B, Gemma-4-12B-it, and Muse-Glimmer-30B. Results cover ten benchmarks and are grouped by capability. Higher…
Read the full model card ↗ · Preview checked 2026-10-30T16:08:55.865Z
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Model overview
TokenRhythm/NeoHorse-1-9B is a text-generation model repository published by TokenRhythm on Hugging Face. The source reports the transformers library.
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Model facts
- Task
- text-generation
- Library
- transformers
- Recent downloads (30 days)
- 13,820
- Cumulative likes
- 1,017
- Hugging Face trending score
- 107
- Reported safetensors parameters
- 8,953,803,264
- Architecture
- Qwen3_5ForCausalLM
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-09-05T10:59:02.000Z
- Last modified
- 2026-09-10T07:47:47.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: Qwen/Qwen3.5-9B
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-26T06:37:43.835Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.