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Models
Deploy and scale models on your GPU infrastructure of choice with NVIDIA NIM inference microservices
Optimized by NVIDIA
Launch from Hugging Face
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8 models
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dateCreated:DESC
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Minimaxai
minimax-m2.1
MiniMax M2.1 excels in multi-language coding, app/web dev, office AI, and agent integration
Agentic
+3
7.8M
1mo
Moonshotai
kimi-k2.5
1T multimodal MoE for high‑capacity video and image understanding with efficient inference.
Multimodal
+4
18.5M
1mo
Mistral AI
mistral-large-3-675b-instruct-2512
A state-of-the-art general purpose MoE VLM ideal for chat, agentic and instruction based use cases.
language generation
+4
4.43M
3mo
Mistral AI
ministral-14b-instruct-2512
A general purpose VLM ideal for chat and instruction based use cases
language generation
+4
3.26M
3mo
Meta
llama-guard-4-12b
Multi-modal model to classify safety for input prompts as well output responses.
LLM Multimodal Safety
+3
343K
8mo
Mistral AI
mistral-small-3.1-24b-instruct-2503
Efficient multimodal model excelling at multilingual tasks, image understanding, and fast-responses
language generation
+3
1.05M
9mo
Mistral AI
mistral-medium-3-instruct
Powerful, multimodal language model designed for enterprise applications, including software development, data analysis, and reasoning.
language generation
+4
3.35M
7mo
NVIDIA
nvclip
NV-CLIP is a multimodal embeddings model for image and text.
Computer vision
+3
37.28K
8mo
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