What are the hardware requirements for Ouro 1.4B?

Ouro 1.4B requires approximately 2.9 GB of VRAM and supports a context window of 64K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Ouro 1.4B and how large is it?

Ouro 1.4B is developed by ByteDance, a model with 1.4b 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 Ouro 1.4B?

Ouro 1.4B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ouro 1.4B by ByteDance — VRAM 2.9GB, 64K context

Name: Ouro 1.4B
Author: ByteDance

Ouro 1.4B is an open-source language model by ByteDance. Features: 1.4b LLM, VRAM: 2.9GB, Context: 64K, License: apache-2.0, LLM Explorer Score: 0.28.

Arxiv:2510.25741 Conversational Custom code Looped-language-model Ouro Reasoning Recurrent-depth Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/ByteDance/Ouro-1.4B

Ouro 1.4B Parameters and Internals

LLM Name	Ouro 1.4B
Repository 🤗	https://huggingface.co/ByteDance/Ouro-1.4B
Model Size	1.4b
Required VRAM	2.9 GB
Updated	2026-08-15
Maintainer	ByteDance
Model Type	ouro
Model Files	2.9 GB
Model Architecture	OuroForCausalLM
License	apache-2.0
Context Length	65536
Model Max Length	65536
Transformers Version	4.55.0
Tokenizer Class	GPT2Tokenizer
Vocabulary Size	49152
Torch Data Type	bfloat16

Rank the Ouro 1.4B capabilities

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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 Ouro 1.4B

Best Alternatives	Context / RAM	Downloads	Likes
Ouro 1.4B Thinking	64K / 2.9 GB	13349	46

Note: green Score (e.g. "73.2") means that the model is better than ByteDance/Ouro-1.4B.