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@@ -8,7 +8,7 @@ https://github.com/kobzaond/AlquistCoder
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  ## Model Details
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- * **Model Name:** `CIIRC-NLP/alquistcoder_FINAL_DPO`
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  * **Base Model:** Microsoft Phi-4-mini-instruct
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  * **Organization:** Czech Institute of Informatics, Robotics and Cybernetics (CIIRC) & FEE, Czech Technical University.
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  * **License:** MIT (Subject to base model license constraints)
@@ -50,7 +50,7 @@ AlquistCoder uses standard chat templates. It can be used with the Hugging Face
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  import torch
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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- model_id = "CIIRC-NLP/alquistcoder_FINAL_DPO"
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  tokenizer = AutoTokenizer.from_pretrained(model_id)
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  model = AutoModelForCausalLM.from_pretrained(
 
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  ## Model Details
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+ * **Model Name:** `CIIRC-NLP/alquistcoder_FINAL_DPO`(old), CIIRC-NLP/alquistcoder-4B-secureLLM (new)
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  * **Base Model:** Microsoft Phi-4-mini-instruct
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  * **Organization:** Czech Institute of Informatics, Robotics and Cybernetics (CIIRC) & FEE, Czech Technical University.
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  * **License:** MIT (Subject to base model license constraints)
 
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  import torch
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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+ model_id = "CIIRC-NLP/alquistcoder-4B-secureLLM"
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  tokenizer = AutoTokenizer.from_pretrained(model_id)
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  model = AutoModelForCausalLM.from_pretrained(