What are the hardware requirements for Neuron V1 3B Instruct?

Neuron V1 3B Instruct requires approximately 6.2 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Neuron V1 3B Instruct and how large is it?

Neuron V1 3B Instruct is developed by Neura-Tech-AI, a model with 3b 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 V1 3B Instruct?

Neuron V1 3B Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Neuron V1 3B Instruct by Neura-Tech-AI — VRAM 6.2GB, 32K context

Name: Neuron V1 3B Instruct
Author: Neura-Tech-AI

Neuron V1 3B Instruct is an open-source language model by Neura-Tech-AI. Features: 3b LLM, VRAM: 6.2GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.25.

3b Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-3b-ins... Conversational Dataset:custom-neura-tech-data En Endpoints compatible Hi Instruct Neura-tech-ai Neuron Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Neura-Tech-AI/Neuron-V1-3B-Instruct

Neuron V1 3B Instruct Parameters and Internals

LLM Name	Neuron V1 3B Instruct
Repository 🤗	https://huggingface.co/Neura-Tech-AI/Neuron-V1-3B-Instruct
Base Model(s)	Qwen/Qwen2.5-3B-Instruct Qwen/Qwen2.5-3B-Instruct
Model Size	3b
Required VRAM	6.2 GB
Updated	2026-07-10
Maintainer	Neura-Tech-AI
Model Type	qwen2
Instruction-Based	Yes
Model Files	6.2 GB
Supported Languages	en hi
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	5.9.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Neuron V1 3B 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 V1 3B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
VibeThinker 3B	128K / 6.2 GB	52745	806
VibeThinker 3B	128K / 6.2 GB	361	0
Saba2 3B	128K / 6.2 GB	6	0
Tessa T1 3B	117K / 6.2 GB	10	5
UIGEN T1.5 3B	117K / 6.2 GB	7	1
Qwen2.5 3B Instruct	32K / 6.2 GB	5889234	545
SmallThinker 3B Preview	32K / 6.8 GB	30529	412
ResearchMate Qwen2.5 3B	32K / 6.2 GB	66	2
LeeChanRX 3B Instruct	32K / 6.2 GB	570	2
Menda 3B 500	32K / 6.2 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than Neura-Tech-AI/Neuron-V1-3B-Instruct.