What are the hardware requirements for Ouro 2.6B Thinking 4bit?

Ouro 2.6B Thinking 4bit requires approximately 1.5 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 2.6B Thinking 4bit and how large is it?

Ouro 2.6B Thinking 4bit is developed by mlx-community, a model with 2.6b 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 2.6B Thinking 4bit?

Ouro 2.6B Thinking 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ouro 2.6B Thinking 4bit by mlx-community — VRAM 1.5GB, 64K context

Name: Ouro 2.6B Thinking 4bit
Author: mlx-community

Ouro 2.6B Thinking 4bit is an open-source language model by mlx-community. Features: 2.6b LLM, VRAM: 1.5GB, Context: 64K, License: apache-2.0, Quantized, LLM Explorer Score: 0.21.

4-bit 4bit Base model:bytedance/ouro-2.6b... Base model:quantized:bytedance... Chain-of-thought Conversational Custom code Looped-language-model Mlx Ouro Quantized Reasoning Recurrent-depth Region:us Safetensors Thinking

Model Card on HF 🤗: https://huggingface.co/mlx-community/Ouro-2.6B-Thinking-4bit

Ouro 2.6B Thinking 4bit Parameters and Internals

LLM Name	Ouro 2.6B Thinking 4bit
Repository 🤗	https://huggingface.co/mlx-community/Ouro-2.6B-Thinking-4bit
Base Model(s)	ByteDance/Ouro-2.6B-Thinking ByteDance/Ouro-2.6B-Thinking
Model Size	2.6b
Required VRAM	1.5 GB
Updated	2026-07-21
Maintainer	mlx-community
Model Type	ouro
Model Files	1.5 GB
Quantization Type	4bit
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 2.6B Thinking 4bit 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 Ouro 2.6B Thinking 4bit

Best Alternatives	Context / RAM	Downloads	Likes
Ouro 2.6B Thinking	64K / 5.3 GB	5550	143
Ouro 2.6B	64K / 5.3 GB	4416	90

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Ouro-2.6B-Thinking-4bit.