MedScholar-1.5B is a compact, instruction-aligned medical question-answering model based on Qwen2.5-1.5B-Instruct, fine-tuned using 1 million samples from the MIRIAD-4.4M dataset, and designed for research and educational exploration of clinical knowledge, not for diagnosis or medical decision-making. The model is trained using the Unsloth framework and QLoRA, employs a minimal QA prompt format, and operates under the Apache-2.0 and ODC-By 1.0 licenses; it is strictly intended for non-clinical, academic use only, with output not to be used for real patient care or advice.
Model Files
File name
Size
Quant Type
MedScholar-1.5B.F32.gguf
6.18 GB
F32
MedScholar-1.5B.BF16.gguf
3.09 GB
BF16
MedScholar-1.5B.F16.gguf
3.09 GB
F16
MedScholar-1.5B.Q8_0.gguf
1.65 GB
Q8_0
MedScholar-1.5B.Q6_K.gguf
1.27 GB
Q6_K
MedScholar-1.5B.Q5_K_M.gguf
1.13 GB
Q5_K_M
MedScholar-1.5B.Q5_K_S.gguf
1.1 GB
Q5_K_S
MedScholar-1.5B.Q4_K_M.gguf
986 MB
Q4_K_M
MedScholar-1.5B.Q4_K_S.gguf
940 MB
Q4_K_S
MedScholar-1.5B.Q3_K_L.gguf
880 MB
Q3_K_L
MedScholar-1.5B.Q3_K_M.gguf
824 MB
Q3_K_M
MedScholar-1.5B.Q3_K_S.gguf
761 MB
Q3_K_S
MedScholar-1.5B.Q2_K.gguf
676 MB
Q2_K
Quants Usage
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):
