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Param2-17B-A2.4B-Thinking

bharatgenai · Param2-17B-A2.4B-Thinking

**BharatGen** presents **Param-2-17B-MoE-A2.4B**, a large-scale Mixture-of-Experts (MoE) language model designed to deliver high model capacity while retaining the inference efficiency of a much smaller dense model. It uses a **Hybrid MoE architecture** with **17B total parameters**, while activating only **2.4B parameters per token**. The model is pretrained from scratch, with a strong emphasis on **linguistic diversity**, **cultural grounding**, and **multilingual representation**, particularly for Indian languages. It is released as an **early post-training checkpoint** with advanced capabilities including reasoning, tool calling, mathematics, and code generation, making it suitable for diverse downstream applications and further fine-tuning. This broad language coverage enables stronger performance on **region-specific tasks** and promotes **inclusive representation** of India’s diverse and underrepresented linguistic communities.

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档案更新时间2026/10/30 10:00:08
OVERVIEW

模型介绍

**BharatGen** presents **Param-2-17B-MoE-A2.4B**, a large-scale Mixture-of-Experts (MoE) language model designed to deliver high model capacity while retaining the inference efficiency of a much smaller dense model. It uses a **Hybrid MoE architecture** with **17B total parameters**, while activating only **2.4B parameters per token**. The model is pretrained from scratch, with a strong emphasis on **linguistic diversity**, **cultural grounding**, and **multilingual representation**, particularly for Indian languages. It is released as an **early post-training checkpoint** with advanced capabilities including reasoning, tool calling, mathematics, and code generation, making it suitable for diverse downstream applications and further fine-tuning. This broad language coverage enables stronger performance on **region-specific tasks** and promotes **inclusive representation** of India’s diverse and underrepresented linguistic communities.

主要特点

特点摘要待依据来源补齐,不凭模型名称推断能力。

局限与注意事项

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PRICING & COST

来源报价与费用分析

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来源 / 渠道输入输出计费单位采集时间
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INDEPENDENT BENCHMARKS

公开评测与运行配置

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常见问题

开放权重是否代表可以免费商用?

不一定。应核对具体版本许可证、商用门槛和使用政策。自部署还会产生算力和维护成本。

这些价格是实时结算价格吗?

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资料来源与可追溯记录

许可证:来源未披露,须进一步核验。模型介绍与第三方评测均以原来源的具体版本和方法为准。