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Qwopus3.5 27B V3 by Jackrong

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Qwopus3.5 27B V3 is an open-source language model by Jackrong. Features: 27b LLM, VRAM: 54.7GB, License: apache-2.0, LLM Explorer Score: 0.33.

  Arxiv:2303.11366   Arxiv:2505.24726 Base model:adapter:unsloth/qwe...   Base model:unsloth/qwen3.5-27b   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/Qwopus3.5-27B-v3 

Qwopus3.5 27B V3 Benchmarks

LLME Score: 0.3282
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwopus3.5 27B V3 (Jackrong/Qwopus3.5-27B-v3)
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Qwopus3.5 27B V3 Parameters and Internals

LLM NameQwopus3.5 27B V3
Repository 🤗https://huggingface.co/Jackrong/Qwopus3.5-27B-v3 
Model Nameunsloth/Qwen3.5-27B
Base Model(s)  unsloth/Qwen3.5-27B   unsloth/Qwen3.5-27B
Model Size27b
Required VRAM54.7 GB
Updated2026-04-19
MaintainerJackrong
Model Typeqwen3_5
Model Files  2.5 GB: 1-of-12   4.8 GB: 2-of-12   5.0 GB: 3-of-12   4.9 GB: 4-of-12   5.0 GB: 5-of-12   4.9 GB: 6-of-12   4.9 GB: 7-of-12   5.0 GB: 8-of-12   5.0 GB: 9-of-12   4.9 GB: 10-of-12   5.0 GB: 11-of-12   2.8 GB: 12-of-12
Supported Languagesen zh ko
Model ArchitectureQwen3_5ForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Tokenizer ClassTokenizersBackend
Padding Token<|vision_pad|>
Torch Data Typebfloat16
Errorsreplace

Quantized Models of the Qwopus3.5 27B V3

Model
Likes
Downloads
VRAM
Qwopus3.5 27B V3 HLWQ Q518254416 GB
Qwopus3.5 27B V3 HLWQ V7 GPTQ566719 GB
Qwopus3.5 27B V3 PolarQuant Q5838916 GB
MLX Qwopus3.5 27B V3 6bit290121 GB
...s3.5 27B V3 PolarQuant V7 GPTQ330219 GB

Best Alternatives to Qwopus3.5 27B V3

Best Alternatives
Context / RAM
Downloads
Likes
...e 4.6 Opus Reasoning Distilled0K / 55.2 GB2532591532
Qwen3.5 27B0K / 54.7 GB3908313
....6 Opus Reasoning Distilled V20K / 55.2 GB1066783
Qwen3.5 27B Anko0K / 54.7 GB825
...e 4.6 Opus Reasoning Distilled0K / 55.2 GB850
... Opus Reasoning Distilled 4bit0K / 15.1 GB40736
Qwen3.5 27B 4bit DWQ0K / 15.2 GB14185
MLX Qwopus3.5 27B V3 6bit0K / 21.8 GB9012
Qwopus3.5 27B V3 HLWQ V7 GPTQ0K / 19.2 GB6675
...s3.5 27B V3 PolarQuant V7 GPTQ0K / 19.2 GB3023
Note: green Score (e.g. "73.2") means that the model is better than Jackrong/Qwopus3.5-27B-v3.

Rank the Qwopus3.5 27B 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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