Text model · Sarvam
SSarvam-1 2B requirements
Sarvam family · 2B params · released Oct 2024. Minimum to run at Q4_K_M: Apple M1 (8GB).
Quantization sizes
| Quantization | Size on disk |
|---|---|
| Q2_K | 0.8 GB est |
| Q3_K_M | 1 GB est |
| Q4_K_M (default) | 1.55 GB |
| Q5_K_M | 1.4 GB est |
| Q6_K | 1.6 GB est |
| Q8_0 | 2.69 GB |
| FP16 | 5.05 GB |
Lower quant = smaller and faster, slightly lower quality. Q4_K_M is the common default.
Run it
llama-cli -hf bartowski/sarvam-1-GGUF:Q4_K_M lms get bartowski/sarvam-1-GGUF Which devices can run Sarvam-1 2B?
Apple Silicon Macs
RAM-only laptops
iPhone & iPad
Android
NVIDIA GPUs
AMD GPUs
FAQ
How much VRAM or RAM does Sarvam-1 2B need?
At Q4_K_M, Sarvam-1 2B needs about 2.7 GB (weights ~1.55 GB + KV cache + overhead) at a 4k context. At Q8_0 budget ~3.8 GB.
Can Sarvam-1 2B run on a laptop?
Yes, Sarvam-1 2B fits on a 16 GB machine at Q4_K_M and runs on Apple Silicon or a 12 GB+ GPU comfortably.
Can I use Sarvam-1 2B commercially?
No. Non-commercial use only per the Sarvam license. Check the current HuggingFace model card for updates.
2B dense model trained from scratch, optimized for 10 Indic languages plus English. Released 2024-10-24 under the Sarvam non-commercial license (not Apache). GGUF sizes from bartowski: Q4_K_M 1.55GB, Q8_0 2.69GB. Context 8K from the model card.
Sources
Memory figures are estimates. See methodology.