Qwen3 4B Thinking 2507 Gabliterated by Goekdeniz-Guelmez

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Qwen3 4B Thinking 2507 Gabliterated is an open-source language model by Goekdeniz-Guelmez. Features: 4b LLM, VRAM: 8.1GB, Context: 256K, LLM Explorer Score: 0.24.

  Arxiv:2512.18901 Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b-think... Dataset:mlabonne/harmful behav... Dataset:mlabonne/harmless alpa...   Gabliteration   Model-index   Qwen3   Region:us   Safetensors   Sharded   Tensorflow   Uncensored

Qwen3 4B Thinking 2507 Gabliterated Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Qwen3 4B Thinking 2507 Gabliterated Parameters and Internals

LLM NameQwen3 4B Thinking 2507 Gabliterated
Repository 🤗https://huggingface.co/Goekdeniz-Guelmez/Qwen3-4B-Thinking-2507-gabliterated 
Base Model(s)  Qwen3 4B Thinking 2507   Qwen/Qwen3-4B-Thinking-2507
Model Size4b
Required VRAM8.1 GB
Updated2026-04-12
MaintainerGoekdeniz-Guelmez
Model Typeqwen3
Model Files  5.0 GB: 1-of-2   3.1 GB: 2-of-2
Model ArchitectureQwen3ForCausalLM
Context Length262144
Model Max Length262144
Transformers Version4.57.6
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Errorsreplace

Quantized Models of the Qwen3 4B Thinking 2507 Gabliterated

Model
Likes
Downloads
VRAM
...hinking 2507 Gabliterated 4bit2222 GB

Best Alternatives to Qwen3 4B Thinking 2507 Gabliterated

Best Alternatives
Context / RAM
Downloads
Likes
Qwen3 4B Thinking 2507256K / 8.1 GB1676918575
GRPO 4 70256K / 8.1 GB200
Qwen3 4B Instruct 2507256K / 8.1 GB9735996813
QED Nano256K / 8.1 GB681686
Lightning 4B256K / 8.1 GB136
Jan V1 4B256K / 8.1 GB108354353
Qwen3 4B Instruct 2507 FP8256K / 5.2 GB71535873
Jan Code 4B256K / 8.9 GB48975
AgentCPM Explore256K / 8.9 GB134412
...en3.6 Plus Reasoning Distilled256K / 8.1 GB10873
Note: green Score (e.g. "73.2") means that the model is better than Goekdeniz-Guelmez/Qwen3-4B-Thinking-2507-gabliterated.

Rank the Qwen3 4B Thinking 2507 Gabliterated Capabilities

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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