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Henrychur
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MMed-Llama-3-8B-EnIns

Text Generation
Transformers
Safetensors
6 languages
llama
medical
conversational
text-generation-inference
Inference Endpoints
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@@ -30,11 +30,10 @@ from transformers import AutoTokenizer, AutoModelForCausalLM
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  tokenizer = AutoTokenizer.from_pretrained("Henrychur/MMed-Llama-3-8B-EnIns")
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  model = AutoModelForCausalLM.from_pretrained("Henrychur/MMed-Llama-3-8B-EnIns", torch_dtype=torch.float16)
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  ```
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- Inference format is the same as Llama 3, coming soon...
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- - Note that this is a foundation model that has not undergone instruction fine-tuning.
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  ## News
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  [2024.2.21] Our pre-print paper is released ArXiv. Dive into our findings [here](https://arxiv.org/abs/2402.13963).
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  tokenizer = AutoTokenizer.from_pretrained("Henrychur/MMed-Llama-3-8B-EnIns")
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  model = AutoModelForCausalLM.from_pretrained("Henrychur/MMed-Llama-3-8B-EnIns", torch_dtype=torch.float16)
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  ```
 
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+ - Inference format is the same as Llama 3, coming soon...
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  ## News
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  [2024.2.21] Our pre-print paper is released ArXiv. Dive into our findings [here](https://arxiv.org/abs/2402.13963).
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