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@@ -23,7 +23,7 @@ There are two variants of Med-V1:
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  - [Med-V1-L3B](https://huggingface.co/ncbi/Med-V1-L3B), which is [Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) fine-tuned with [MedFact-Synth](https://huggingface.co/datasets/ncbi/MedFact-Synth)
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  - [Med-V1-Q3B](https://huggingface.co/ncbi/Med-V1-Q3B), which is [Qwen2.5-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct) fine-tuned with [MedFact-Synth](https://huggingface.co/datasets/ncbi/MedFact-Synth)
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- They have similar performance in our evaluations, and the demonstrations below will be based on Med-Q1-L3B.
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  ### Quick start
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  Here is a self-contained code snippet for running Med-V1.
 
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  - [Med-V1-L3B](https://huggingface.co/ncbi/Med-V1-L3B), which is [Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) fine-tuned with [MedFact-Synth](https://huggingface.co/datasets/ncbi/MedFact-Synth)
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  - [Med-V1-Q3B](https://huggingface.co/ncbi/Med-V1-Q3B), which is [Qwen2.5-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct) fine-tuned with [MedFact-Synth](https://huggingface.co/datasets/ncbi/MedFact-Synth)
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+ They have similar performance in our evaluations, and the demonstrations below will be based on Med-V1-Q3B.
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  ### Quick start
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  Here is a self-contained code snippet for running Med-V1.