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Model: prithivMLmods/MedScholar-1.5B-f32-GGUF
Source: Original Platform

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README.md

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+---
+license: apache-2.0
+base_model:
+- yasserrmd/MedScholar-1.5B
+language:
+- en
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- text-generation-inference
+---
+
+# **MedScholar-1.5B-f32-GGUF**
+
+> 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):
+
+![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)

config.json

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+{
+    "model_type": "qwen2"
+}

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}