What are the hardware requirements for QuantuMinx 4B?

QuantuMinx 4B requires approximately 9.1 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed QuantuMinx 4B and how large is it?

QuantuMinx 4B is developed by FourOhFour, 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 QuantuMinx 4B?

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

QuantuMinx 4B by FourOhFour — VRAM 9.1GB, 128K context

Name: QuantuMinx 4B
Author: FourOhFour

QuantuMinx 4B is an open-source language model by FourOhFour. Features: 4b LLM, VRAM: 9.1GB, Context: 128K, License: apache-2.0, Merged, LLM Explorer Score: 0.14.

Merged Model Conversational En Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/FourOhFour/QuantuMinx_4B

QuantuMinx 4B Parameters and Internals

Model Type

General assistant model, Role-play model

Use Cases

Primary Use Cases:

General assistant, RP model

Additional Notes

This model should perform well as a general assistant and RP model. Recommended character for integration is QuantuMinx, a sentient catgirl with space-time manipulation abilities.

Supported Languages

English (Fluent)

Training Details

Methodology:

This model is a slerp merge of NeuroCom v2 and Zenith. This model was tuned at 8k context during all steps.

Context Length:

8000

Model Architecture:

4B parameter Minitron derivative

LLM Name	QuantuMinx 4B
Repository 🤗	https://huggingface.co/FourOhFour/QuantuMinx_4B
Merged Model	Yes
Model Size	4b
Required VRAM	9.1 GB
Updated	2026-08-08
Maintainer	FourOhFour
Model Type	llama
Model Files	5.0 GB: 1-of-2 4.1 GB: 2-of-2
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.44.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the QuantuMinx 4B 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 QuantuMinx 4B

Best Alternatives	Context / RAM	Downloads	Likes
4Bcpt	256K / 8.8 GB	5	0
HoldMy4BKTO	256K / 8.8 GB	5	0
Xgen Small 4B Instruct R	256K / 17.7 GB	54	4
Xgen Small 4B Base R	256K / 17.7 GB	30	3
SJT 4B	146K / 7.6 GB	7	0
...lama 3.1 Nemotron Nano 4B V1.1	128K / 9 GB	3940	116
Nemotron W 4b MagLight 0.1	128K / 9.2 GB	9	3
Loxa 4B	128K / 16 GB	8	0
Nemotron W 4b Halo 0.1	128K / 9.2 GB	22	3
Aura 4B	128K / 9 GB	50	14

Note: green Score (e.g. "73.2") means that the model is better than FourOhFour/QuantuMinx_4B.