Qwen 3.5 4B QLORA Finetuning by BluSerK

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Qwen 3.5 4B QLORA Finetuning is an open-source language model by BluSerK. Features: 4b LLM, VRAM: 9.3GB, License: apache-2.0.

Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3.5-4b   Conversational Dataset:bitext/bitext-customer...   En   Qwen3 5   Region:us   Safetensors   Sharded   Tensorflow

Qwen 3.5 4B QLORA Finetuning Parameters and Internals

LLM NameQwen 3.5 4b QLORA Finetuning
Repository 🤗https://huggingface.co/BluSerK/Qwen_3.5_4b_QLORA_finetuning 
Model NameQwen/Qwen3.5-4B
Base Model(s)  Qwen/Qwen3.5-4B   Qwen/Qwen3.5-4B
Model Size4b
Required VRAM9.3 GB
Updated2026-04-30
MaintainerBluSerK
Model Typeqwen3_5
Model Files  5.3 GB: 1-of-2   4.0 GB: 2-of-2
Supported Languagesen
Model ArchitectureQwen3_5ForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Tokenizer ClassTokenizersBackend
Padding Token<|endoftext|>
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than BluSerK/Qwen_3.5_4b_QLORA_finetuning.

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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