# Pull directly from HuggingFace
ollama run hf.co/A-Aryam/AyurParam-GGUF:Q4_K_M

# Or download and create manually
ollama create ayurparam -f Modelfile

Modelfile:

FROM ./AyurParam-Q4_K_M.gguf
PARAMETER temperature 0.6
PARAMETER top_p 0.95
PARAMETER top_k 50

With llama.cpp

bash

./llama-cli -m AyurParam-Q4_K_M.gguf \
  -p "<user> What is Vata dosha? <assistant>" \
  --temp 0.6 --top-p 0.95

With LM Studio

Open LM Studio
Go to Search tab → search A-Aryam/AyurParam-GGUF
Download AyurParam-Q4_K_M.gguf
Load the model and start chatting

Prompt Format

<user> your question here <assistant>

Example:

<user> What is the Ayurvedic treatment for Amavata? <assistant>

Conversion Details

Converted: March 2025
Tool: llama.cpp (standard conversion pipeline)
Source: bharatgenai/AyurParam
Original license: CC-BY-4.0

Original Model

Model: bharatgenai/AyurParam
Organization: BharatGen AI
Base: Param-1-2.9B-Instruct → fine-tuned on Ayurvedic dataset
Paper: Coming soon (arxiv:2511.02374)

License

CC-BY-4.0 — same as the original model. Attribution: BharatGen AI / bharatgenai/AyurParam