What are the hardware requirements for Neuron 4B Instruct?

Neuron 4B Instruct 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 Neuron 4B Instruct and how large is it?

Neuron 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 Neuron 4B Instruct?

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

Neuron 4B Instruct by Neura-Tech-AI — VRAM 8.1GB, 256K context

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

Neuron 4B Instruct is an open-source language model by Neura-Tech-AI. Features: 4b LLM, VRAM: 8.1GB, Context: 256K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.27.

Ar Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b-instr... Bn Coding Conversational De En Endpoints compatible Es Fa Fr Gu Hi Id Instruct It Ja Ko Mr Ms Multilingual Neura tech ai Neuron Pa Pt Qwen Qwen3 Region:us Ru Safetensors Sharded Ta Te Tensorflow Th Tr Ur Vi Zh

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

Neuron 4B Instruct Parameters and Internals

LLM Name	Neuron 4B Instruct
Repository 🤗	https://huggingface.co/Neura-Tech-AI/Neuron-4B-Instruct
Base Model(s)	Qwen3 4B Instruct 2507 Qwen/Qwen3-4B-Instruct-2507
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-08-08
Maintainer	Neura-Tech-AI
Model Type	qwen3
Instruction-Based	Yes
Model Files	4.0 GB: 1-of-3 4.0 GB: 2-of-3 0.1 GB: 3-of-3
Supported Languages	en hi zh ja ko fr de es it pt ru ar tr vi th id ms bn ta te mr gu pa ur fa
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.14.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Neuron 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 Neuron 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
Fable Traces	256K / 8.1 GB	342	210
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Qwen3 4B Cuad Extractor	256K / 8.1 GB	322	1
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78
Qwen Fine Tuned	256K / 8 GB	293	1
Qwen3 4B Sft Prm	256K / 17.6 GB	602	0
...pt Full Qwen3 4b Instruct 2507	256K / 8 GB	365	1
Luck Qwen3 4B Code FineTune	256K / 8.1 GB	132	1

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