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Qwopus3.5 9B V3 by Jackrong

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Qwopus3.5 9B V3 is an open-source language model by Jackrong. Features: 9b LLM, VRAM: 19.3GB, License: apache-2.0, LLM Explorer Score: 0.48.

  Arxiv:2303.11366   Arxiv:2505.24726 Base model:adapter:unsloth/qwe...   Base model:unsloth/qwen3.5-9b   Chain-of-thought   Competitive-programming   Conversational   En   Image-text-to-text   Ko   Lora   Qwen   Qwen3.5   Qwen3 5   Reasoning   Region:us   Safetensors   Sharded   Tensorflow   Unsloth   Zh
Model Card on HF 🤗: https://huggingface.co/Jackrong/Qwopus3.5-9B-v3 

Qwopus3.5 9B V3 Benchmarks

LLME Score: 0.48429
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwopus3.5 9B V3 (Jackrong/Qwopus3.5-9B-v3)
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Qwopus3.5 9B V3 Parameters and Internals

LLM NameQwopus3.5 9B V3
Repository 🤗https://huggingface.co/Jackrong/Qwopus3.5-9B-v3 
Model Nameunsloth/Qwen3.5-9B
Base Model(s)  unsloth/Qwen3.5-9B   unsloth/Qwen3.5-9B
Model Size9b
Required VRAM19.3 GB
Updated2026-04-09
MaintainerJackrong
Model Typeqwen3_5
Model Files  5.3 GB: 1-of-4   5.3 GB: 2-of-4   5.4 GB: 3-of-4   3.3 GB: 4-of-4
Supported Languagesen zh ko
Model ArchitectureQwen3_5ForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Tokenizer ClassTokenizersBackend
Padding Token<|vision_pad|>
Torch Data Typebfloat16
Errorsreplace

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Rank the Qwopus3.5 9B V3 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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