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What is Nemotron 3.5 Transcribe?

NVIDIA Nemotron 3.5 Transcribe is an open-weight model designed specifically for developers interested in building systems for transcription and audio processing. This innovative model converts audio files into text, providing options for both precise verbatim transcripts and modified versions, and includes advanced features such as contextual vocabulary, speaker identification, word-level timestamps, speech translation, language detection, and audio-based question answering. It supports a comprehensive language matrix featuring 40 languages, although the level of task performance can differ across languages. With the ability to handle recordings lasting up to one hour, this model is optimized for offline use on compatible NVIDIA GPU hardware and supported runtimes, making it versatile for various applications. Developers can easily integrate it into multiple settings, including speech interfaces, media processing, meeting analysis, customer service insights, translation applications, and other tools focused on audio comprehension. Additionally, the model's weights and a fine-tuning toolkit are provided under the OpenMDW-1.1 license, with specific deployment hardware and service requirements based on the application type. This adaptability empowers teams to customize the model for an array of audio processing and transcription needs, enhancing efficiency and user experience. Ultimately, the widespread capabilities of Nemotron 3.5 make it a valuable asset for enhancing communication and accessibility in diverse environments.

What is LFM3?

LFM3 showcases Liquid AI's collection of versatile, open-weight foundational models tailored for a diverse range of applications, spanning text, vision, audio, and multimodal functionalities. This array includes specialized versions for generating text, processing vision-language tasks, handling audio, addressing omni tasks, and facilitating decision-making processes. Developers can choose to download the model weights for customization through fine-tuning and deploy them on local edge devices, or they may opt for Liquid AI’s hosted API for seamless access. The potential uses for these models are extensive, including conversational agents, invoking tools, transcribing and synthesizing speech, interpreting images and videos, extracting and classifying documents, routing information, and enabling robotics capabilities. LFM3 is designed to meet the needs of developers, researchers, and organizations aiming to build customized AI solutions that prioritize adaptable deployment options, including support for on-premises inference. Additionally, these open-weight models are governed by Liquid AI’s LFM Open License, which stipulates the eligibility for commercial use and its specific terms based on the annual revenue of the organization. This level of flexibility empowers users to precisely customize their AI implementations to suit their specific requirements, thereby significantly enhancing the overall functionality and effectiveness of the models. Moreover, with the rapid advancements in AI, having such adaptable tools is crucial for staying competitive in the ever-evolving technological landscape.

Media

Media

Integrations Supported

Hugging Face Transformers
vLLM
NVIDIA NIM

Integrations Supported

Hugging Face Transformers
vLLM
Hugging Face
LM Studio
Ollama
OpenRouter
Unsloth
Vercel AI Gateway

API Availability

Has API

API Availability

Has API

Pricing Information

The model weights and fine-tuning toolkit are available under the OpenMDW-1.1 license. Hardware and inference-serving costs depend on the selected deployment.
Free Version

Pricing Information

$0.08/MTok
LFM3-1.7B API usage is $0.08 per million input tokens, $0.02 per million cached input tokens, and $0.20 per million output tokens. New organizations receive $2 in API credit. Open-weight models can be used in production free by developers, researchers, nonprofits, and businesses with less than $10 million in annual revenue; businesses above that threshold require a paid license.
Free Version

Supported Platforms

Windows
On-Prem
Linux

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

research.nvidia.com/labs/nemotron/NVIDIA-Nemotron-3.5-Transcribe/

Company Facts

Organization Name

Liquid AI

Date Founded

2023

Company Location

United States

Company Website

www.liquid.ai/blog/lfm3

Categories and Features

AI Models

Not specified

Open-Weight AI Models

Not specified

Speech Recognition

Not specified

Speech to Text

Not specified

Transcription

Not specified

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

Multimodal Models

Not specified

Open-Weight AI Models

Not specified

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