What are the hardware requirements for Qwen3 4B Thinking 2507 Gabliterated?

Qwen3 4B Thinking 2507 Gabliterated requires approximately 8.1 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 4B Thinking 2507 Gabliterated and how large is it?

Qwen3 4B Thinking 2507 Gabliterated is developed by Goekdeniz-Guelmez, a model with 4b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Qwen3 4B Thinking 2507 Gabliterated?

Qwen3 4B Thinking 2507 Gabliterated is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 4B Thinking 2507 Gabliterated by Goekdeniz-Guelmez — VRAM 8.1GB, 256K context

Name: Qwen3 4B Thinking 2507 Gabliterated
Author: Goekdeniz-Guelmez

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: 0.22.

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

Model Card on HF 🤗: https://huggingface.co/Goekdeniz-Guelmez/Qwen3-4B-Thinking-2507-gabliterated

Qwen3 4B Thinking 2507 Gabliterated Parameters and Internals

LLM Name	Qwen3 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 Size	4b
Required VRAM	8.1 GB
Updated	2026-07-25
Maintainer	Goekdeniz-Guelmez
Model Type	qwen3
Model Files	5.0 GB: 1-of-2 3.1 GB: 2-of-2
Model Architecture	Qwen3ForCausalLM
Context Length	262144
Model Max Length	262144
Transformers Version	4.57.6
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Qwen3 4B Thinking 2507 Gabliterated capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Quantized Models of the Qwen3 4B Thinking 2507 Gabliterated

Model	Likes	Downloads	VRAM
...hinking 2507 Gabliterated 4bit	2	15	2 GB
...hinking 2507 Gabliterated 8bit	1	6	4 GB

Best Alternatives to Qwen3 4B Thinking 2507 Gabliterated

Best Alternatives	Context / RAM	Downloads	Likes
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
GRPO 4 70	256K / 8.1 GB	12	0
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
Fable Traces	256K / 8.1 GB	436	210
Lightning 4B	256K / 8.1 GB	13	6
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
...PT Gpt5.1 Thinking Safetensors	256K / 8.1 GB	116	2
Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
...pt Full Qwen3 4b Instruct 2507	256K / 8 GB	365	1
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78

Note: green Score (e.g. "73.2") means that the model is better than Goekdeniz-Guelmez/Qwen3-4B-Thinking-2507-gabliterated.