模型

浏览来自所有提供商的 2 个标准化 LLM 模型

显示第 1–2 项,共 2 个模型

Sarvam-1

印度

Sarvam AI's compact 2B-parameter language model built from the ground up for Indian languages. Provides best-in-class performance across 10 Indic languages (bn, gu, hi, kn, ml, mr, or, pa, ta, te) alongside English, outperforming larger general-purpose models like Gemma-2-2B and Llama-3.2-3B thanks to careful data curation and an efficient Indic tokenizer. Edge-deployable.

上下文
8K
发布日期
2026年6月

Sarvam-M

印度

Sarvam AI's 24B-parameter instruction-tuned model derived from Mistral-Small-3.1-24B, post-trained on English plus eleven major Indic languages (bn, hi, kn, gu, mr, ml, or, pa, ta, te). Delivers large relative gains on Indian-language, math, and programming benchmarks over its base model, with a hybrid reasoning mode for complex tasks.

上下文
131K
发布日期
2026年6月