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JiRackUltra 14B by CMSManhattan

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JiRackUltra 14B is an open-source language model by CMSManhattan. Features: 14b LLM, VRAM: 5.8GB, Context: 128K, License: other, Quantized, LLM Explorer Score: 0.33.

  1.58bit   Ar   Bitnet   Conversational   Cpu   De   Deepseek   Efficient   En   Endpoints compatible   Es   Fr   Gguf   It   Ja   Jirack   Ko   Low-memory   Pt   Q2   Quantized   Qwen2   Qwen2.5   Region:us   Robotics   Routing   Ru   Safetensors   Ternary   Th   Tool-call   Vi   Web-ui   Zh
Model Card on HF 🤗: https://huggingface.co/CMSManhattan/JiRackUltra_14b 

JiRackUltra 14b Benchmarks

LLME Score: 0.33289
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
JiRackUltra 14B (CMSManhattan/JiRackUltra_14b)

JiRackUltra 14B Parameters and Internals

LLM NameJiRackUltra 14b
Repository 🤗https://huggingface.co/CMSManhattan/JiRackUltra_14b 
Model Size14b
Required VRAM5.8 GB
Updated2026-08-04
MaintainerCMSManhattan
Model Typeqwen2
Model Files  29.5 GB   5.8 GB   7.3 GB   9.0 GB   29.5 GB   29.5 GB
Supported Languagesen zh ja ko fr es pt de it ru ar vi th
GGUF QuantizationYes
Quantization Typeq2|gguf|q4_k
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Tokenizer ClassQwen2Tokenizer
Padding Token<｜end▁of▁sentence｜>
Vocabulary Size152064
Torch Data Typebfloat16

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Qwen2.5 14B Instruct 1M 8bit986K / 15.7 GB43012
Qwen2.5 14B Instruct 1M 4bit986K / 8.3 GB3792

Rank the JiRackUltra 14B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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