What are the hardware requirements for AyurParam?

AyurParam requires approximately 11.5 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed AyurParam and how large is it?

AyurParam is developed by bharatgenai, a model with 2.9b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate AyurParam?

AyurParam is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

AyurParam by bharatgenai — VRAM 11.5GB, 2K context

Name: AyurParam
Author: bharatgenai

AyurParam is an open-source language model by bharatgenai. Features: 2.9b LLM, VRAM: 11.5GB, Context: 2K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.21.

Arxiv:2511.02374 Ayurvedic Base model:bharatgenai/param-1... Base model:finetune:bharatgena... Conversational Custom code Deploy:azure En Hi Instruct Parambharatgen Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/bharatgenai/AyurParam

AyurParam Parameters and Internals

LLM Name	AyurParam
Repository 🤗	https://huggingface.co/bharatgenai/AyurParam
Base Model(s)	bharatgenai/Param-1-2.9B-Instruct bharatgenai/Param-1-2.9B-Instruct
Model Size	2.9b
Required VRAM	11.5 GB
Updated	2026-07-26
Maintainer	bharatgenai
Model Type	parambharatgen
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-3 4.4 GB: 2-of-3 2.1 GB: 3-of-3
Supported Languages	hi en
Model Architecture	ParamBharatGenForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.53.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	</s>
Vocabulary Size	256006
Torch Data Type	float32

Rank the AyurParam capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to AyurParam

Best Alternatives	Context / RAM	Downloads	Likes
Homeopathy	8K / 5.8 GB	13	0
Param 1 2.9B Instruct	8K / 5.8 GB	791	19

Note: green Score (e.g. "73.2") means that the model is better than bharatgenai/AyurParam.