Inkling-2-Small

thinkingmachines · 383B · apache-2.0 MLX TextVision New

A 383B parameter vision and text model from thinkingmachines, with one MLX build at 4-bit.

Parameters
383B
Smallest download
335 GB
Memory needed
From 377 GB
Downloads, 30 days
0
First MLX build
13 Nov 2026

About

Inkling 2 Small is a general-purpose multimodal model that accepts text and image inputs and generates text outputs. It is intended for use in English and other languages, and across multiple coding languages. The model is designed to be used by developers building AI-powered applications, including agentic and tool-use systems, coding assistants, chatbots, and retrieval-augmented generation systems, and is suitable for general-purpose conversational use, instruction-following, and other natural language and visual tasks.

From the model card by thinkingmachines on Hugging Face
Architecture
Inkling2ForConditionalGeneration

Build

Select a row for its command. Memory is an estimate: the weights, plus a fifth for context and 2 GB for macOS and your apps.
↗ 4-bit 335 GB 377 GB — 0

Run Inkling-2-Small-oQ4e

Terminal · mlx-vlm
pip install -U mlx-vlm
python -m mlx_vlm.generate --model mlx-community/Inkling-2-Small-oQ4e --image photo.jpg --prompt "Describe this image"

Similar models

History

  1. MLX 4-bit. Inkling-2-Small-oQ4e published on mlx-community.