What are the hardware requirements for Qwen3 4B Instruct 2507 Gabliterated Mxfp4?

Qwen3 4B Instruct 2507 Gabliterated Mxfp4 requires approximately 2.1 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 Instruct 2507 Gabliterated Mxfp4 and how large is it?

Qwen3 4B Instruct 2507 Gabliterated Mxfp4 is developed by mlx-community, 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 Instruct 2507 Gabliterated Mxfp4?

Qwen3 4B Instruct 2507 Gabliterated Mxfp4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 4B Instruct 2507 Gabliterated Mxfp4 by mlx-community — VRAM 2.1GB, 256K context

Name: Qwen3 4B Instruct 2507 Gabliterated Mxfp4
Author: mlx-community

Qwen3 4B Instruct 2507 Gabliterated Mxfp4 is an open-source language model by mlx-community. Features: 4b LLM, VRAM: 2.1GB, Context: 256K, Instruction-Based, LLM Explorer Score: 0.21.

4-bit Base model:goekdeniz-guelmez/q... Base model:quantized:goekdeniz... Conversational Instruct Mlx Qwen3 Region:us Safetensors Uncensored

Model Card on HF 🤗: https://huggingface.co/mlx-community/Qwen3-4B-Instruct-2507-gabliterated-mxfp4

Qwen3 4B Instruct 2507 Gabliterated Mxfp4 Parameters and Internals

LLM Name	Qwen3 4B Instruct 2507 Gabliterated Mxfp4
Repository 🤗	https://huggingface.co/mlx-community/Qwen3-4B-Instruct-2507-gabliterated-mxfp4
Base Model(s)	... 4B Instruct 2507 Gabliterated Goekdeniz-Guelmez/Qwen3-4B-Instruct-2507-gabliterated
Model Size	4b
Required VRAM	2.1 GB
Updated	2026-09-08
Maintainer	mlx-community
Model Type	qwen3
Instruction-Based	Yes
Model Files	2.1 GB
Model Architecture	Qwen3ForCausalLM
Context Length	262144
Model Max Length	262144
Transformers Version	5.0.0rc1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Qwen3 4B Instruct 2507 Gabliterated Mxfp4 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

Best Alternatives to Qwen3 4B Instruct 2507 Gabliterated Mxfp4

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
Fable Traces	256K / 8.1 GB	385	210
Qwen Fine Tuned	256K / 8 GB	268	1
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78
Qwen3 4B Sft Prm	256K / 17.6 GB	602	0
Luck Qwen3 4B Code FineTune	256K / 8.1 GB	132	1
...pt Full Qwen3 4b Instruct 2507	256K / 8 GB	365	1
Nexa AI 4B Instruct	256K / 8 GB	576	2

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Qwen3-4B-Instruct-2507-gabliterated-mxfp4.