base_model: huzaifa525/MedGenius_LLaMA-3.2B
datasets:
- >-
huzaifa525/Medical_Intelligence_Dataset_40k_Rows_of_Disease_Info_Treatments_and_Medical_QA
language:
- en
library_name: transformers
license: apache-2.0
quantized_by: mradermacher
tags:
- Medical AI
- AI-powered healthcare
- Diagnostic AI model
- Medical chatbot
- Healthcare AI solutions
- Symptom analysis AI
- Disease diagnosis model
- Medical NLP model
- AI for doctors
- Medical Q&A model
- Healthcare chatbot
- AI in telemedicine
- Medical research assistant
- AI medical assistant
- Disease treatment suggestions AI
- Medical education AI
- AI in healthcare innovation
- LLaMA medical model
- AI healthcare applications
- Medical intelligence dataset
About
static quants of https://huggingface.co/huzaifa525/MedGenius_LLaMA-3.2B
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi-part files.
Provided Quants
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
| Link | Type | Size/GB | Notes |
|---|---|---|---|
| GGUF | Q2_K | 1.5 | |
| GGUF | Q3_K_S | 1.6 | |
| GGUF | Q3_K_M | 1.8 | lower quality |
| GGUF | Q3_K_L | 1.9 | |
| GGUF | IQ4_XS | 1.9 | |
| GGUF | Q4_K_S | 2.0 | fast, recommended |
| GGUF | Q4_K_M | 2.1 | fast, recommended |
| GGUF | Q5_K_S | 2.4 | |
| GGUF | Q5_K_M | 2.4 | |
| GGUF | Q6_K | 2.7 | very good quality |
| GGUF | Q8_0 | 3.5 | fast, best quality |
| GGUF | f16 | 6.5 | 16 bpw, overkill |
Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):
And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
FAQ / Model Request
See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.
Thanks
I thank my company, nethype GmbH, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time.