What are the hardware requirements for Neuron 27B Thinking?

Neuron 27B Thinking requires approximately 54.8 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 Neuron 27B Thinking and how large is it?

Neuron 27B Thinking is developed by Neura-Tech-AI, a model with 27b 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 27B Thinking?

Neuron 27B Thinking is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Neuron 27B Thinking by Neura-Tech-AI — VRAM 54.8GB, 256K context

Name: Neuron 27B Thinking
Author: Neura-Tech-AI

Neuron 27B Thinking is an open-source language model by Neura-Tech-AI. Features: 27b LLM, VRAM: 54.8GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.29.

27b Af Ar Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.8-27b Bg Bn Conversational Cs Da De El En Endpoints compatible Es Fa Fi Fr Gu He Hi Hr Hu Id It Ja Kn Ko Ml Mr Ms Neura-tech-ai Neuron Nl No Pa Pl Pt Qwen3 Qwen3 5 text Reasoning Region:us Ro Ru Safetensors Sharded Sk Sl Sr Sv Sw Ta Te Tensorflow Th Tl Tr Uk Ur Vi Zh

Model Card on HF 🤗: https://huggingface.co/Neura-Tech-AI/Neuron-27B-Thinking

Neuron 27B Thinking Parameters and Internals

LLM Name	Neuron 27B Thinking
Repository 🤗	https://huggingface.co/Neura-Tech-AI/Neuron-27B-Thinking
Base Model(s)	Qwen/Qwen3.8-27B Qwen/Qwen3.8-27B
Model Size	27b
Required VRAM	54.8 GB
Updated	2026-11-09
Maintainer	Neura-Tech-AI
Model Type	qwen3_5_text
Model Files	4.0 GB: 1-of-15 2.1 GB: 2-of-15 3.9 GB: 3-of-15 4.0 GB: 4-of-15 4.0 GB: 5-of-15 3.9 GB: 6-of-15 4.0 GB: 7-of-15 4.0 GB: 8-of-15 3.8 GB: 9-of-15 4.0 GB: 10-of-15 4.0 GB: 11-of-15 3.8 GB: 12-of-15 4.0 GB: 13-of-15 1.9 GB: 14-of-15 3.4 GB: 15-of-15
Supported Languages	en hi zh es fr de ar ja ko pt ru it tr id vi th pl nl sv da fi cs ro hu el he fa ur bn ta te mr gu pa ml kn uk bg sr hr sk sl ms tl sw af
Model Architecture	Qwen3_5ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.15.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Torch Data Type	bfloat16
Errors	replace

Rank the Neuron 27B Thinking 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 27B Thinking

Best Alternatives	Context / RAM	Downloads	Likes
Hemmingway 1	256K / 53.8 GB	12371	880
Hemmingway 1	256K / 53.8 GB	9089	888
JEV 27B	256K / 53.9 GB	178643	79
OrcaSAQ 2 27B	256K / 12.3 GB	1330	169
Diffusion Qwen3.8 27B	256K / 53.8 GB	1860	29
Qwen3.6 27B OBLITERATED	256K / 53.6 GB	15137	184
Rewrite2 27B Bf16	256K / 53.7 GB	421	3
Darwin 27B RSI	256K / 53.8 GB	459	14
...2 Abliterated OptiQ 3.7bpw Mlx	256K / 13.4 GB	6727	14
Mnma Qwen3.8 27b Nvfp4	256K / 18.8 GB	527	11

Note: green Score (e.g. "73.2") means that the model is better than Neura-Tech-AI/Neuron-27B-Thinking.