Notable Open ModelsfreeNew

Sarvam Open Models (30B / 105B)

Sarvam-105B and Sarvam-30B open models built for Indian languages, with FP8 and GGUF builds

Visit Sarvam Open Models (30B / 105B)

What Sarvam Open Models (30B / 105B) does

  • Sarvam-105B and Sarvam-30B open models built for Indian languages, with FP8 and GGUF builds
  • Sarvam-Translate 4B for multilingual translation
  • Downloadable from Hugging Face at no cost

Sarvam Open Models (30B / 105B) — straight answers

What is Sarvam Open Models (30B / 105B)?

Sarvam Open Models (30B / 105B) is listed under Notable Open Models, in the AI Models & Local Execution category on Flocci AI Tools. Sarvam-105B and Sarvam-30B open models built for Indian languages, with FP8 and GGUF builds. It is free, with no paid plan attached, and it lives at huggingface.co.

Is Sarvam Open Models (30B / 105B) free?

Sarvam Open Models (30B / 105B) is listed as fully free — there is no paid tier attached to it in the catalog. That makes it one of the 399 entries on Flocci AI Tools with no upgrade path built in.

What can Sarvam Open Models (30B / 105B) do?

Sarvam Open Models (30B / 105B) does 3 things the catalog singles out: Sarvam-105b and sarvam-30b open models built for indian languages, with fp8 and gguf builds; sarvam-translate 4b for multilingual translation; downloadable from hugging face at no cost.

What is the best free alternative to Sarvam Open Models (30B / 105B)?

DeepSeek Models is the closest free alternative: it sits in the same Notable Open Models sub-category and is free. ERNIE 4.5 Open Models (Baidu), EXAONE (LG AI Research) and Falcon (TII) also start free. The full list is on the alternatives page.

See the full list →

Sarvam Open Models (30B / 105B) alternatives

Compare all alternatives →

Llama (Meta)

Notable Open Models
free
  • Meta's flagship open-weight family (Llama 4)
  • Multimodal and long-context variants
  • Run locally or via any host
  • Free, permissive license
Visit

Qwen (Alibaba)

Notable Open Models
free
  • Open Qwen3.x family from phone-sized to multi-trillion-parameter MoE, Apache 2.0
  • Qwen3.6 mid-size models suit agentic coding on one high-memory machine
  • Small Qwen3.5 sizes run on phones and laptops
  • Free weights on Hugging Face and ModelScope
Visit

DeepSeek Models

Notable Open Models
free
  • DeepSeek V4-Pro and V4-Flash open-weight MoE models, MIT-licensed
  • Very long context with reasoning and non-reasoning modes
  • Successors to the V3 and R1 lines
  • Free weights plus free web chat
Visit

Gemma (Google)

Notable Open Models
free
  • Google's lightweight open models (Gemma 4)
  • Runs in as little as 16GB RAM
  • On-device and multimodal variants
  • Free and open
Visit

GPT-OSS (OpenAI)

Notable Open Models
free
  • OpenAI's Apache-2.0 open-weight reasoning models (120B and 20B)
  • Run locally or self-host, with configurable reasoning effort
  • Safeguard variants for policy-based content classification
Visit

Pleias

Notable Open Models
free
  • Fully open-weight, open-dataset small language models (350M-3B) explicitly built for EU AI Act compliance
  • Trained exclusively on the 2-trillion-token open Common Corpus, not scraped/licensed text
  • Purpose-built RAG models (Pleias-RAG-350M/1B) with built-in citation tracking, Apache 2.0 licensed
Visit

Head-to-head comparisons

Sarvam Open Models (30B / 105B) vs Llama (Meta)Sarvam Open Models (30B / 105B) vs Qwen (Alibaba)Sarvam Open Models (30B / 105B) vs DeepSeek ModelsSarvam Open Models (30B / 105B) vs Gemma (Google)Sarvam Open Models (30B / 105B) vs GPT-OSS (OpenAI)Sarvam Open Models (30B / 105B) vs Pleias