What are the hardware requirements for Nous V1 4B?

Nous V1 4B requires approximately 8.1 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Nous V1 4B and how large is it?

Nous V1 4B is developed by apexion-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 Nous V1 4B?

Nous V1 4B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Nous V1 4B by apexion-ai — VRAM 8.1GB, 128K context

Name: Nous V1 4B
Author: apexion-ai

Nous V1 4B is an open-source language model by apexion-ai. Features: 4b LLM, VRAM: 8.1GB, Context: 128K, License: cc-by-nc-sa-4.0, LLM Explorer Score: 0.19.

Af Ar As Ast Autotrain compatible Awa Az Ba Ban Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b Be Bg Bho Bn Bs Ca Ceb Conversational Cs Cy Da De El En Endpoints compatible Es Et Eu Fa Fi Fo Fr Fur Ga Gl Gu He Hi Hne Hr Ht Hu Hy Id Ilo Is It Ja Jv Ka Kea Kk Km Kn Ko Lb Li Lij Lmo Lo Lt Lv Mag Mai Min Mk Ml Mr Ms Mt My Nb Ne Nl Nn Oc Or Pa Pag Pap Pl Prs Pt Qwen3 Region:us Ro Ru Safetensors Sc Scn Sd Sharded Si Sk Sl Sq Sr Su Sv Sw Szl Ta Te Tensorflow Tg Th Tl Tpi Tr Tt Uk Unsloth Ur Uz Vec Vi War Yi Yue Zh

Model Card on HF 🤗: https://huggingface.co/apexion-ai/Nous-V1-4B

Nous V1 4B Parameters and Internals

LLM Name	Nous V1 4B
Repository 🤗	https://huggingface.co/apexion-ai/Nous-V1-4B
Base Model(s)	Qwen/Qwen3-4B Qwen/Qwen3-4B
Model Size	4b
Required VRAM	8.1 GB
Updated	2025-07-22
Maintainer	apexion-ai
Model Type	qwen3
Model Files	5.0 GB: 1-of-2 3.1 GB: 2-of-2
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	cc-by-nc-sa-4.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the Nous V1 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 Nous V1 4B

Best Alternatives	Context / RAM	Downloads	Likes
GRPO 4 70	256K / 8.1 GB	11	0
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
Lightning 4B	256K / 8.1 GB	13	6
Fable Traces	256K / 8.1 GB	333	210
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
Qwen3 4B Sft Prm	256K / 17.6 GB	602	0
...fetensors.chatgpt GPT Codex V2	256K / 8.1 GB	666	2
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 apexion-ai/Nous-V1-4B.