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moondream-2b-2025-04-14-4bit

moondream

This repository contains the 2025-04-14 **4-bit** release of Moondream. On an Nvidia RTX 3090, it uses 2,450 MB of VRAM and runs at a speed of 184 tokens/second. We used quantization-aware training techniques to build this version of the model, allowing us to achieve a 42% reduction in memory usage with only an 0.6% drop in accuracy. There's more information about this version of the model in our release blog post. Other revisions, as well as release history, can be found here.

Visual QA

Input Text · Image→ Output Text

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moondream2-gguf

moondream

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

Category pending

Input Not verified→ Output Not verified

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Moondream 3.1

moondream

Moondream 3.1 is a vision-language model from Moondream, the successor to Moondream 3 Preview, with 9B total parameters and 2B active (mixture-of-experts). It handles visual question answering, captioning, OCR, and...

Text generationOpen weights

Input Text · Image→ Output Text

$0.3 / M input tokensOpenRouter · moondream/moondream3.1-9b-a2b

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Moondream 3 Preview

moondream

Moondream 3 Preview is a vision-language model from Moondream with 9B total parameters and 2B active (mixture-of-experts). It handles visual question answering, captioning, OCR, and visual reasoning over images, with...

Text generationOpen weights

Input Text · Image→ Output Text

$0.3 / M input tokensOpenRouter · moondream/moondream3-preview

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parakeet-redux

moondream

A 1.58-bit version of parakeet-tdt-0.6b-v3. Same architecture, same tokenizer, but every encoder weight is -1, 0 or +1. It fits in 178 MB, runs at 113× real time on eight x86 CPU cores, 2.5× the fastest other Parakeet runtime we measured, and stays within 0.3 WER of the original on English while beating it on the 25-language FLEURS set and on long-form audio. Its sibling Parakeet Ultra is the full-precision version of the same architecture, trained further, for GPUs: better than the original on every benchmark. Read the release post for the story behind both models. Run it with Photon, which reads the packed weights directly: AVX-512 VNNI on x86, NEON on ARM, Metal on Apple GPUs. Every speed number on this page is Photon.

Speech recognition

Input Audio→ Output Text

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parakeet-ultra

moondream

A post-trained version of parakeet-tdt-0.6b-v3. Same architecture, same tokenizer, same 0.6B parameters in full precision. It is better than the original on every benchmark group below, by a wide margin on the 25-language FLEURS set, in background noise and on long-form audio, and it runs faster than the original does in NeMo. Its sibling Parakeet Redux is the ternary version of the same architecture, 178 MB, built for CPUs and Apple silicon. Read the release post for the story behind both models. Run it with Photon. Every accuracy number on this page is Photon on an NVIDIA GPU.

Speech recognition

Input Audio→ Output Text

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Monthly input tokens 10 MMonthly output tokens 2 M1 M = 1 million tokens · USD
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Explore AI models 6

moondream-2b-2025-04-14-4bit

moondream2-gguf

Moondream 3.1

Moondream 3 Preview

parakeet-redux

parakeet-ultra

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