Should you use sarvam-m?
sarvam-m is listed for chat workloads and supports a 8K context window.
Check NVIDIA NIM's current endpoint status before integrating this listing. Use the alternatives table if the provider listing is unavailable.
https://integrate.api.nvidia.com/v1 sarvamai/sarvam-m sarvam-m is listed for chat workloads and supports a 8K context window.
Check NVIDIA NIM's current endpoint status before integrating this listing. Use the alternatives table if the provider listing is unavailable.
We only found this sarvam-m listing on NVIDIA NIM in the current catalog. Use the related models section for nearby alternatives.
| Provider | Model listing | Access | Context | API | Limits |
|---|---|---|---|---|---|
| | sarvamai/sarvam-m | Check provider | 8K | Native | Varies |
| Model | Provider | Context | Access |
|---|---|---|---|
| 01-ai/yi-large | NVIDIA NIM | 131K | Free tier |
| adept/fuyu-8b | NVIDIA NIM | 131K | Free tier |
| ai21labs/jamba-1.5-large-instruct | NVIDIA NIM | 131K | Free tier |
| aisingapore/sea-lion-7b-instruct | NVIDIA NIM | 131K | Free tier |
| baai/bge-m3 | NVIDIA NIM | 131K | Free tier |
sarvam-m is tagged for chat in this catalog and works with OpenAI-compatible client libraries.
sarvam-m appears in the free model catalog for NVIDIA NIM, but its current endpoint availability should be confirmed with the provider before use.
The model ID shown in this catalog is sarvamai/sarvam-m.
The listed context window is 8K tokens with up to 4K output tokens.