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  ---
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  library_name: transformers
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- license: llama2
 
 
 
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  ---
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- # Haary/haryra-7b-id
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  <!-- markdownlint-disable MD041 -->
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  <!-- header start -->
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  <hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
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  <!-- header end -->
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- [Haary/haryra-7b-mistral-id](https://huggingface.co/Haary/haryra-7b-id) is QLoRA quantized version of [Ichsan2895/Merak-7B-v4](https://huggingface.co/Ichsan2895/Merak-7B-v4)
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  ### Install the necessary packages
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  import torch
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  from transformers import pipeline
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- pipe = pipeline("text-generation", model="Haary/haryra-7b-id", torch_dtype=torch.bfloat16, device_map="auto")
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  # We use the tokenizer's chat template to format each message - see https://huggingface.co/docs/transformers/main/en/chat_templating
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  messages = [
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  ## Credits
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- [Ichsan2895/Merak-7B-v3](https://huggingface.co/Ichsan2895/Merak-7B-v3) for base model.
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  ## image source
 
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  ---
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  library_name: transformers
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+ license: cc-by-sa-4.0
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+ language:
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+ - id
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+ - en
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  ---
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+ # Haary/haryra-7b-mistral-id
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  <!-- markdownlint-disable MD041 -->
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  <!-- header start -->
 
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  <hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
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  <!-- header end -->
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+ [Haary/haryra-7b-mistral-id](https://huggingface.co/Haary/haryra-7b-mistral-id) is QLoRA quantized version of [Ichsan2895/Merak-7B-v4](https://huggingface.co/Ichsan2895/Merak-7B-v4)
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  ### Install the necessary packages
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  import torch
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  from transformers import pipeline
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+ pipe = pipeline("text-generation", model="Haary/haryra-7b-mistral-id", torch_dtype=torch.bfloat16, device_map="auto")
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  # We use the tokenizer's chat template to format each message - see https://huggingface.co/docs/transformers/main/en/chat_templating
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  messages = [
 
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  ## Credits
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+ [Ichsan2895/Merak-7B-v4](https://huggingface.co/Ichsan2895/Merak-7B-v4) for base model.
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  ## image source