Model overview
**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.
Key features
特点摘要待依据来源补齐，不凭模型名称推断能力。
Limitations & considerations
Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.
Source prices & cost analysis
Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.
| Source / channel | Input | Output | Billing unit | Collected at |
|---|---|---|---|---|
| No verified prices yet. Check the source channel. | ||||
Estimate monthly base token costs
Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.
Public benchmarks & run configuration
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
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Sources & traceability
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。