42 lines
1.8 KiB
Markdown
42 lines
1.8 KiB
Markdown
---
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license: apache-2.0
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base_model:
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- yasserrmd/MedScholar-1.5B
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language:
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- en
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pipeline_tag: text-generation
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library_name: transformers
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tags:
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- text-generation-inference
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---
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# **MedScholar-1.5B-f32-GGUF**
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> 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.
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## Model Files
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| File name | Size | Quant Type |
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|-----------|------|------------|
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| MedScholar-1.5B.F32.gguf | 6.18 GB | F32 |
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| MedScholar-1.5B.BF16.gguf | 3.09 GB | BF16 |
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| MedScholar-1.5B.F16.gguf | 3.09 GB | F16 |
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| MedScholar-1.5B.Q8_0.gguf | 1.65 GB | Q8_0 |
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| MedScholar-1.5B.Q6_K.gguf | 1.27 GB | Q6_K |
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| MedScholar-1.5B.Q5_K_M.gguf | 1.13 GB | Q5_K_M |
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| MedScholar-1.5B.Q5_K_S.gguf | 1.1 GB | Q5_K_S |
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| MedScholar-1.5B.Q4_K_M.gguf | 986 MB | Q4_K_M |
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| MedScholar-1.5B.Q4_K_S.gguf | 940 MB | Q4_K_S |
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| MedScholar-1.5B.Q3_K_L.gguf | 880 MB | Q3_K_L |
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| MedScholar-1.5B.Q3_K_M.gguf | 824 MB | Q3_K_M |
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| MedScholar-1.5B.Q3_K_S.gguf | 761 MB | Q3_K_S |
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| MedScholar-1.5B.Q2_K.gguf | 676 MB | Q2_K |
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## Quants Usage
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(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
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Here is a handy graph by ikawrakow comparing some lower-quality quant
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types (lower is better):
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