What are the hardware requirements for Nexa AI 4B Instruct?

Nexa AI 4B Instruct requires approximately 8 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 Nexa AI 4B Instruct and how large is it?

Nexa AI 4B Instruct is developed by Neura-Tech-AI, 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 Nexa AI 4B Instruct?

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

Nexa AI 4B Instruct by Neura-Tech-AI — VRAM 8GB, 256K context

Name: Nexa AI 4B Instruct
Author: Neura-Tech-AI

Nexa AI 4B Instruct is an open-source language model by Neura-Tech-AI. Features: 4b LLM, VRAM: 8GB, Context: 256K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.26.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b-instr... Conversational En Endpoints compatible Hi Instruct Lumina ai Multilingual Neura tech ai Nexa ai Qwen Qwen3 Region:us Safetensors Zh

Model Card on HF 🤗: https://huggingface.co/Neura-Tech-AI/Nexa-AI-4B-Instruct

Nexa AI 4B Instruct Parameters and Internals

LLM Name	Nexa AI 4B Instruct
Repository 🤗	https://huggingface.co/Neura-Tech-AI/Nexa-AI-4B-Instruct
Base Model(s)	Qwen3 4B Instruct 2507 Qwen/Qwen3-4B-Instruct-2507
Model Size	4b
Required VRAM	8 GB
Updated	2026-07-26
Maintainer	Neura-Tech-AI
Model Type	qwen3
Instruction-Based	Yes
Model Files	8.0 GB
Supported Languages	en hi zh
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.12.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Nexa AI 4B Instruct 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 Nexa AI 4B Instruct

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
SRA RiskGate 4B	256K / 8 GB	2662	1
Mgi Assistant V1 Qwen3 4B	256K / 8.1 GB	669	1
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Fable Traces	256K / 8.1 GB	128	210
Jamjuri EDGE Preview 100	256K / 8 GB	510	1
Voho Saudi Chat 4B	256K / 8 GB	468	1
... Matched Dense Seed11 Step 008	256K / 8.1 GB	161	1

Note: green Score (e.g. "73.2") means that the model is better than Neura-Tech-AI/Nexa-AI-4B-Instruct.