NVIDIA's NIM API catalog offers Nemotron and Llama-3.1 models from compact edge variants to ultra-scale versions, supporting language, vision-language, coding, math, and specialized tasks. The diverse parameter sizes and modalities let developers balance accuracy with efficiency across PCs, on-device inference, and high-performance servers.
Key Points:
- Models range from 4B "nano" to 253B "ultra" parameters for flexible accuracy-efficiency tradeoffs
- Multi-modal options combine text, image, and video understanding
- Advanced reasoning, coding, and math capabilities for scientific and AI agent use cases
- Edge-optimized variants enable low-latency, on-device inference
- Bilingual Hindi-English model expands language support
- 70B reward model facilitates RLHF for better human alignment
- Emphasis on high inference efficiency and domain versatility
https://build.nvidia.com/search/models?filters=publisher%3Anvidia&q=Nemotron&ncid=no-ncid
Key Points:
- Models range from 4B "nano" to 253B "ultra" parameters for flexible accuracy-efficiency tradeoffs
- Multi-modal options combine text, image, and video understanding
- Advanced reasoning, coding, and math capabilities for scientific and AI agent use cases
- Edge-optimized variants enable low-latency, on-device inference
- Bilingual Hindi-English model expands language support
- 70B reward model facilitates RLHF for better human alignment
- Emphasis on high inference efficiency and domain versatility
https://build.nvidia.com/search/models?filters=publisher%3Anvidia&q=Nemotron&ncid=no-ncid
NVIDIA's NIM API catalog offers Nemotron and Llama-3.1 models from compact edge variants to ultra-scale versions, supporting language, vision-language, coding, math, and specialized tasks. The diverse parameter sizes and modalities let developers balance accuracy with efficiency across PCs, on-device inference, and high-performance servers.
Key Points:
- Models range from 4B "nano" to 253B "ultra" parameters for flexible accuracy-efficiency tradeoffs
- Multi-modal options combine text, image, and video understanding
- Advanced reasoning, coding, and math capabilities for scientific and AI agent use cases
- Edge-optimized variants enable low-latency, on-device inference
- Bilingual Hindi-English model expands language support
- 70B reward model facilitates RLHF for better human alignment
- Emphasis on high inference efficiency and domain versatility
https://build.nvidia.com/search/models?filters=publisher%3Anvidia&q=Nemotron&ncid=no-ncid
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