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  1. README.md +32 -20
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- ---
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- license: apache-2.0
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- language:
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- - en
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- metrics:
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- - RAGAS
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- pipeline_tag: question-answering
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- base_model:
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- - Qwen/Qwen2.5-3B-Instruct
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- ---
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-
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- # Sidemen_Intellihack_QwenModel
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-
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- This model is a fine-tuned version of [Qwen 2.5-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct) tailored for technical question-answering tasks in the domain of AI research.
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-
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- ## Model Details
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-
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- - **Base Model:** [Qwen 2.5-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct)
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- - **Architecture:** Transformer-based language model with 3 billion parameters.
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- - **Quantization:** 4-bit GGUF format using the `q4_k_m` method for efficient inference.
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ language:
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+ - zho
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+ - eng
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+ - fra
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+ - spa
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+ - por
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+ - deu
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+ - ita
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+ - rus
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+ - jpn
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+ - kor
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+ - vie
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+ - tha
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+ - ara
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+ metrics:
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+ - RAGAS
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+ pipeline_tag: question-answering
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+ base_model:
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+ - Qwen/Qwen2.5-3B-Instruct
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+ ---
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+
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+ # Sidemen_Intellihack_QwenModel
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+
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+ This model is a fine-tuned version of [Qwen 2.5-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct) tailored for technical question-answering tasks in the domain of AI research.
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+
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+ ## Model Details
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+
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+ - **Base Model:** [Qwen 2.5-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct)
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+ - **Architecture:** Transformer-based language model with 3 billion parameters.
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+ - **Quantization:** 4-bit GGUF format using the `q4_k_m` method for efficient inference.