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AyurParam — GGUF

Ayurveda · Traditional Medicine  |  BharatGenAI  |  हिन्दी + English

AyurParam is BharatGenAI's Ayurveda and traditional medicine specialist, fine-tuned on classical Ayurvedic texts, herbs, formulations (rasayanas), Panchakarma procedures, and integrative health advisory rooted in Indian medical traditions.


Available Quantizations

Quantization File Size Description
F16 AyurParam-F16.gguf ~5.7 GB Full float 16, near-lossless, GPU recommended
Q2_K AyurParam-Q2_K.gguf ~0.9 GB 2-bit, smallest, significant quality loss
Q3_K_M AyurParam-Q3_K_M.gguf ~1.3 GB 3-bit medium, moderate quality
Q4_K_M AyurParam-Q4_K_M.gguf ~1.7 GB 4-bit medium — recommended for most users
Q5_K_M AyurParam-Q5_K_M.gguf ~2.0 GB 5-bit medium, great quality
Q6_K AyurParam-Q6_K.gguf ~2.4 GB 6-bit, excellent quality
Q8_0 AyurParam-Q8_0.gguf ~3.0 GB 8-bit, best quality/size balance

Not sure which to pick? → Q4_K_M for everyday use on CPU/GPU → Q8_0 for best quality on GPU with ≥ 6 GB VRAM → F16/BF16 for full precision research use


Use Cases

  • Herb and medicinal plant identification
  • Dosha analysis and Ayurvedic constitution (Prakriti)
  • Classical formulations and Rasayana advisory
  • Panchakarma procedure information
  • Integrative health and lifestyle guidance

Quick Start

llama.cpp

# Windows
winget install llama.cpp

# Run directly from Hugging Face
llama-cli -hf arunmcops/AyurParam-GGUF:AyurParam-Q4_K_M.gguf

# OpenAI-compatible server
llama-server -hf arunmcops/AyurParam-GGUF:AyurParam-Q4_K_M.gguf --port 8080

Ollama

ollama run hf.co/arunmcops/AyurParam-GGUF:AyurParam-Q4_K_M.gguf

Python (llama-cpp-python)

from llama_cpp import Llama

llm = Llama.from_pretrained(
    repo_id="arunmcops/AyurParam-GGUF",
    filename="AyurParam-Q4_K_M.gguf",
)
response = llm.create_chat_completion(
    messages=[{"role": "user", "content": "नमस्ते! आप कौन हैं?"}]
)
print(response["choices"][0]["message"]["content"])

About BharatGenAI

BharatGenAI builds open-source language models for India — bilingual (Hindi + English) and domain-specialized for agriculture, healthcare, legal, and general-purpose use.


License

Apache 2.0 — free for personal, research, and commercial use.

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