CMSManhattan/JiRackUltra_14b

text-generation model by CMSManhattan

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Model card & documentation

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A fast and efficient 14B model optimized for CPU inference. The model was refactored with BitNet features and an updated tokenizer that includes new Routing, Media, Vision, Sound, Tool call, and Robotics tags. Built on a DeepSeek R1-14B architecture with native ternary (BitNet-style) support and ready-to-run GGUF quantizations. Default CPU (Q4 recommended) Q3 Q2 (lowest memory) Full precision Multi CPU Once the container is running, open your browser and navigate to: http://localhost:7869 This opens the JiRack UI — a clean web interface. The listening port can be easily modified directly from the Settings panel within the JiRack UI. For commercial licensing, cluster deployment, or enterprise use of JiRack models,…

CMSManhattan/JiRackUltra_14b on Hugging Face A short preview, not the full document.

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Model overview

CMSManhattan/JiRackUltra_14b is a text-generation model repository published by CMSManhattan on Hugging Face. A library was not reported.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task: text-generation
Library: Not reported
Recent downloads (30 days): 1,000,579
Cumulative likes: 2
Hugging Face trending score: 0
Reported safetensors parameters: 14,770,033,664
Architecture: Qwen2ForCausalLM
License: mit
Access: Not gated by Hugging Face
Created: 2026-08-03T00:19:53.000Z
Last modified: 2026-09-19T14:59:07.000Z

Compatibility and lineage

Reported languages: en, zh, ja, ko, fr, es, pt, de, it, ru, ar, vi, th

Base-model lineage was not included.

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.

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-09-21T06:36:49.162Z. Daily imports are snapshots, not real-time monitoring.

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