What are the hardware requirements for MiniAI Quata1.5 4B?

MiniAI Quata1.5 4B requires approximately 8 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MiniAI Quata1.5 4B and how large is it?

MiniAI Quata1.5 4B is developed by M1n1A1, 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 MiniAI Quata1.5 4B?

MiniAI Quata1.5 4B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MiniAI Quata1.5 4B by M1n1A1 — VRAM 8GB, 40K context

Name: MiniAI Quata1.5 4B
Author: M1n1A1

MiniAI Quata1.5 4B is an open-source language model by M1n1A1. Features: 4b LLM, VRAM: 8GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.32.

4b Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b Conversational En Mini-ai Quata Qwen Qwen3 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/M1n1A1/MiniAI-Quata1.5-4b

MiniAI Quata1.5 4B Parameters and Internals

LLM Name	MiniAI Quata1.5 4B
Repository 🤗	https://huggingface.co/M1n1A1/MiniAI-Quata1.5-4b
Base Model(s)	Qwen/Qwen3-4B Qwen/Qwen3-4B
Model Size	4b
Required VRAM	8 GB
Updated	2026-09-05
Maintainer	M1n1A1
Model Type	qwen3
Model Files	8.0 GB
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	5.5.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	151936
Errors	replace

Rank the MiniAI Quata1.5 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 MiniAI Quata1.5 4B

Best Alternatives	Context / RAM	Downloads	Likes
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
GRPO 4 70	256K / 8.1 GB	15	0
...2.5 Flash Lite Preview Distill	256K / 8.1 GB	31	1
Lightning 4B	256K / 8.1 GB	13	6
Fable Traces	256K / 8.1 GB	385	210
Checkpoint 8000	256K / 8.1 GB	1453	0
Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
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 M1n1A1/MiniAI-Quata1.5-4b.