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- ```yaml
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- library_name: transformers
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- tags:
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- - language-model
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- - causal-language-model
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- - instruction-tuned
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- - advanced
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- - quantized
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- datasets:
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- - custom-instruction-following-dataset
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- metrics:
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- - accuracy
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- - response-quality
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  license: mit
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- base_model: meta-llama/Meta-Llama-3-8B-Instruct
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- pipeline_tag: text-generation
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  language:
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- - en
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- thumbnail: "url-to-thumbnail"
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- new_version: fahmizainal17/meta-llama-3b-instruct-advanced-v2
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- model-index:
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- - name: meta-llama-3b-instruct-advanced
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- results:
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- - task:
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- type: text-generation
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- dataset:
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- name: custom-instruction-following-dataset
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- type: instruction-following
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- metrics:
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- - name: Accuracy
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- value: 89.5
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- source:
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- name: Open LLM Leaderboard
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- url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard
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  ---
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- # Model Card for fahmizainal17/meta-llama-3b-instruct-advanced
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  This model is a fine-tuned version of the Meta LLaMA 3B model, optimized for instruction-based tasks such as answering questions and engaging in conversation. It has been quantized to reduce memory usage, making it more efficient for inference, especially on hardware with limited resources. This model is part of the **Advanced LLaMA Workshop** and is designed to handle complex queries and provide detailed, human-like responses.
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@@ -231,4 +211,4 @@ For further inquiries, please contact fahmizainal@invokeisdata.com.
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  ```
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- ---
 
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+ ---
 
 
 
 
 
 
 
 
 
 
 
 
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  license: mit
 
 
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  language:
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+ - en
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+ base_model:
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+ - meta-llama/Meta-Llama-3-8B-Instruct
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+ pipeline_tag: text-generation
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+ library_name: transformers
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+ tags:
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+ - language-model
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+ - causal-language-model
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+ - instruction-tuned
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+ - advanced
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+ - quantized
 
 
 
 
 
 
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  ---
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+ # Model Card for fahmizainal17/Meta-Llama-3-8B-Instruct-advanced
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  This model is a fine-tuned version of the Meta LLaMA 3B model, optimized for instruction-based tasks such as answering questions and engaging in conversation. It has been quantized to reduce memory usage, making it more efficient for inference, especially on hardware with limited resources. This model is part of the **Advanced LLaMA Workshop** and is designed to handle complex queries and provide detailed, human-like responses.
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  ```
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+ ---