Project AURIONAI Use-Cases Research & Innovation
LLM

Sarvam 105B

Open-sourced 2026-03-06.

Sarvam AI
Levelmodel
ClassLLM
Parameters105B
Context128,000
ReleasedMar 2026
Opennessopen weights permissive
Runs onsingle datacentre GPU
Statusactive

Benchmark Results

vendor-reportedindependent
high; asterisk on pageindependent
9
03060

Score in index. Higher is better.

AA leaderboard, 205 current models10 Oct 2026 artificialanalysis.ai
GPQA Diamondknowledge and reasoning
vendor-reported
78.7
050100

Score in %. Higher is better.

MMLU-Proknowledge and reasoning
vendor-reported
81.7
050100

Score in %. Higher is better.

vendor-reported
45
050100

Score in %. Higher is better.

Where this comes from
Every score names who ran it: vendor-reported, maintainer-run or independent. A rank is shown with the population it was ranked in (gap rule 3).

R&D Topics

Identity

Developer
Sarvam AI
Family
not in the notes
Released
Mar 2026 sourcesnotes
Weights published
6 Mar 2026
Record checked
10 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.

Architecture and Size

Architecture
MoE MoE with MLA-style attention (128 experts, top-8 + 1 shared)
Total parameters
105B sources
Active parameters
10.3B
Checkpoint parameters
–
Note
Context 128K via YaRN
Context length
128,000 tokens
Input
text
Output
text
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).

Openness and Access

Openness
open weights permissive
Licence
Apache License 2.0 sources
Access routes
open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.

Deployment

Runs on
single datacentre GPU
Footprint
Single GPU at FP8; GGUF variant
Runtimes
not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.

Indonesia

Indonesian support
not stated
Regional languages
not in the notes
Jakarta hosting
unknown
Languages
Indic focus
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.

Lineage

The notes record no lineage for this model.

Industry Use Cases

No industry use case links this model.

Sources

  1. Blog - Sarvam AI sarvam.ai https://www.sarvam.ai/blogs
  2. LLM Leaderboard - Comparison of AI models from OpenAI, Anthropic, Google, SpaceXAI & others | Artificial Analysis artificialanalysis.ai https://artificialanalysis.ai/leaderboards/models
  3. huggingface.co/sarvamai https://huggingface.co/sarvamai
  4. huggingface.co/sarvamai/sarvam-105b https://huggingface.co/sarvamai/sarvam-105b
  5. huggingface.co/sarvamai/sarvam-105b/raw/main/README.md https://huggingface.co/sarvamai/sarvam-105b/raw/main/README.md
  6. huggingface.co/api/models/sarvamai/sarvam-105b https://huggingface.co/api/models/sarvamai/sarvam-105b

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Sarvam 105B", https://aurion.semai.id/models/sarvam-ai-sarvam-105b/, records of October 2026.