Famille de modèles Other

Explorez 13 modèles de la famille Other et comparez contexte, tarifs API, modalités et capacités.

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Llama Nemotron Rerank VL 1B V2 is a 1.7B multimodal reranking model from NVIDIA. It evaluates the relevance of document images and text against user queries, designed for vision RAG…

Contexte
10K
Entrée
0,00 $US
Sortie
0,00 $US
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Actif

NVIDIA Nemotron 3 Embed 1B is an open text embedding model from NVIDIA, optimized for high-throughput, low-latency retrieval. It is suited for enterprise search, RAG, code retrieval, and agentic retrieval…

Contexte
33K
Entrée
0,00 $US
Sortie
0,00 $US
Texte
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Actif

Nemotron-3-Nano-30B-A3B-BF16 is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning tasks. It responds to user queries and tasks by first generating a reasoning trace and then concluding with a final response. The model's reasoning capabilities can be configured through a flag in the chat template. If the user prefers the model to provide its final answer without intermediate reasoning traces, it can be configured to do so, albeit with a slight decrease in accuracy for harder prompts that require reasoning. Conversely, allowing the model to generate reasoning traces first generally results in higher-quality final solutions to queries and tasks.

Contexte
262K
Entrée
0,05 $US
Sortie
0,20 $US
Texte
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Actif

NVIDIA Nemotron 3 Nano Omni is a multimodal large language model that unifies video, audio, image, and text understanding to support enterprise-grade Q&A, summarization, transcription, and document intelligence workflows. It extends the Nemotron Nano family with integrated video+speech comprehension, Graphical User Interface (GUI), Optical Character Recognition (OCR), and speech transcription capabilities, enabling end-to-end processing of rich enterprise content such as meeting recordings, M&E assets, training videos, and complex business documents. NVIDIA Nemotron 3 Nano Omni was developed by NVIDIA as part of the Nemotron model family.

Contexte
256K
Entrée
0,00 $US
Sortie
0,00 $US
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> Use temperature=1.0 and top_p=0.95 across **all tasks and serving backends** — reasoning, tool calling, and general chat alike.

Contexte
262K
Entrée
0,085 $US
Sortie
0,40 $US
Texte
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Actif

For more details on how to deploy and use the model - see the Quick Start Guide below!

Contexte
512K
Entrée
0,60 $US
Sortie
3,6 $US
Texte
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Actif

Nemotron 3.5 ASR Streaming Multilingual 0.6B is a speech recognition model from NVIDIA. Its prompt-conditioned, cache-aware FastConformer-RNNT design targets low-latency transcription across more than 40 languages for real-time captioning, voice…

Contexte
0
Entrée
3,33 $US
Sortie
0,00 $US
Audio
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NVIDIA Nemotron™ is a family of open models with open weights, training data, and recipes, delivering leading efficiency and accuracy for building specialized AI agents.

Contexte
262K
Entrée
0,08 $US
Sortie
0,20 $US
Texte
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Actif

NVIDIA: Nemotron Nano 12B 2 VL (free) is included in the AIToolly model catalog.

Contexte
128K
Entrée
0,00 $US
Sortie
0,00 $US
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NVIDIA-Nemotron-Nano-9B-v2 is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning tasks. It responds to user queries and tasks by first generating a reasoning trace and then concluding with a final response. The model's reasoning capabilities can be controlled via a system prompt. If the user prefers the model to provide its final answer without intermediate reasoning traces, it can be configured to do so, albeit with a slight decrease in accuracy for harder prompts that require reasoning. Conversely, allowing the model to generate reasoning traces first generally results in higher-quality final solutions to queries and tasks.

Contexte
128K
Entrée
0,00 $US
Sortie
0,00 $US
Texte
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Actif

Parakeet TDT 0.6B v3 is NVIDIA's 600M-parameter multilingual speech-to-text model built on the FastConformer-TDT architecture. Trained on the Granary dataset (670,000+ hours of audio), it supports automatic language detection across…

Contexte
0
Entrée
1 500 $US
Sortie
0,00 $US
Audio
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