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YuYu1015 Qwen3.5 0.8B TW CivicAligned V1 by YuYu1015

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YuYu1015 Qwen3.5 0.8B TW CivicAligned V1 is an open-source language model by YuYu1015. Features: 0.8b LLM, VRAM: 1.5GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.25.

  Abliterated Base model:adapter:huihui-ai/h... Base model:huihui-ai/huihui-qw...   Civicaligned   Conversational   Debiased   En   Endpoints compatible   Lora   Qwen3.5   Qwen3 5 text   Region:us   Safetensors   Sft   Taiwan   Zh
Model Card on HF 🤗: https://huggingface.co/YuYu1015/YuYu1015-Qwen3.5-0.8B-TW-CivicAligned-v1 

YuYu1015 Qwen3.5 0.8B TW CivicAligned V1 Benchmarks

LLME Score: 0.2531
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
YuYu1015 Qwen3.5 0.8B TW CivicAligned V1 (YuYu1015/YuYu1015-Qwen3.5-0.8B-TW-CivicAligned-v1)
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YuYu1015 Qwen3.5 0.8B TW CivicAligned V1 Parameters and Internals

LLM NameYuYu1015 Qwen3.5 0.8B TW CivicAligned V1
Repository 🤗https://huggingface.co/YuYu1015/YuYu1015-Qwen3.5-0.8B-TW-CivicAligned-v1 
Base Model(s)  huihui-ai/Huihui-Qwen3.5-0.8B-abliterated   huihui-ai/Huihui-Qwen3.5-0.8B-abliterated
Model Size0.8b
Required VRAM1.5 GB
Updated2026-05-15
MaintainerYuYu1015
Model Typeqwen3_5_text
Model Files  1.5 GB
Supported Languagesen zh
Model ArchitectureQwen3_5ForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version5.5.3
Tokenizer ClassTokenizersBackend
Padding Token<|endoftext|>
Vocabulary Size248320
Errorsreplace

Best Alternatives to YuYu1015 Qwen3.5 0.8B TW CivicAligned V1

Best Alternatives
Context / RAM
Downloads
Likes
St3 Response Sft256K / 1.5 GB1090
St4 Annealing Sft256K / 1.5 GB5260
St4 Generic Sft256K / 1.5 GB3860
St5 Generic Sft256K / 1.5 GB3040
Qwenite3.5 0.8B256K / 1.5 GB330
...aling Sft Fixed Tokenization 2256K / 1.5 GB380
Qwen3.5 Text 0.8B Bnb 4bit256K / 0.8 GB3540
Note: green Score (e.g. "73.2") means that the model is better than YuYu1015/YuYu1015-Qwen3.5-0.8B-TW-CivicAligned-v1.

Rank the YuYu1015 Qwen3.5 0.8B TW CivicAligned V1 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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