Qwen3.5 2B JP V0.2 by keitokei1994

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Qwen3.5 2B JP V0.2 is an open-source language model by keitokei1994. Features: 2b LLM, VRAM: 4.4GB, LLM Explorer Score: 0.32.

Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3.5-2b   Conversational Dataset:datapilot/zero sft ja ...   Ja   Japanese   Qwen3.5   Qwen3 5   Region:us   Safetensors   Sft

Qwen3.5 2B JP V0.2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3.5 2B JP V0.2 (keitokei1994/Qwen3.5-2B-JP-v0.2)
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Qwen3.5 2B JP V0.2 Parameters and Internals

LLM NameQwen3.5 2B JP V0.2
Repository ๐Ÿค—https://huggingface.co/keitokei1994/Qwen3.5-2B-JP-v0.2 
Model Nameunsloth/Qwen3.5-2B
Base Model(s)  Qwen/Qwen3.5-2B   Qwen/Qwen3.5-2B
Model Size2b
Required VRAM4.4 GB
Updated2026-04-03
Maintainerkeitokei1994
Model Typeqwen3_5
Model Files  4.4 GB
Supported Languagesja
Model ArchitectureQwen3_5ForConditionalGeneration
Model Max Length262144
Transformers Version5.3.0
Tokenizer ClassTokenizersBackend
Padding Token<|vision_pad|>
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than keitokei1994/Qwen3.5-2B-JP-v0.2.

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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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Release v20260328a