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: 0.25.
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 Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
AyurParam Parameters and Internals
| LLM Name | AyurParam |
| Repository 🤗 | https://huggingface.co/bharatgenai/AyurParam |
| Base Model(s) | |
| Model Size | 2.9b |
| Required VRAM | 11.5 GB |
| Updated | 2026-04-15 |
| Maintainer | bharatgenai |
| Model Type | parambharatgen |
| Instruction-Based | Yes |
| Model Files | |
| 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 |
Best Alternatives to AyurParam
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Homeopathy | 8K / 5.8 GB | 251 | 0 |
| Param 1 2.9B Instruct | 8K / 5.8 GB | 950 | 19 |
Note: green Score (e.g. "73.2") means that the model is better than bharatgenai/AyurParam .
Rank the AyurParam Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a