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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: 0.41.

  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: 0.40847
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
Updated2026-05-19
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

Best Alternatives to Qwopus3.5 9B V3

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Negentropy Claude Opus 4.7 9B0K / 18.8 GB1789
Qwen3.5 9B GLM5.1 Distill V10K / 19.3 GB2398062
...e 4.6 Opus Reasoning Distilled0K / 19.3 GB31800660
....6 Opus Reasoning Distilled V20K / 19.3 GB4481167
QwenPaw Flash 9B0K / 18.8 GB494356
Qwopus GLM 18B Healed0K / 33.2 GB265218
CoPaw Flash 9B0K / 18.8 GB20030
JewGPT Qwen3.5 9B0K / 17.9 GB5160
Qwopus GLM 18B Healed0K / 33.2 GB1052
Qwen3.5 9B Neo0K / 19.3 GB2716
Note: green Score (e.g. "73.2") means that the model is better than Jackrong/Qwopus3.5-9B-v3.

Rank the Qwopus3.5 9B V3 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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