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update README.md

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@@ -21,6 +21,10 @@ The quantization was carried out in a custom branch of [autoawq](https://github.
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  It worked using [vllm](https://github.com/vllm-project/vllm). It may not work with other frameworks as they have not been tested.
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  # KULLM3
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  Introducing KULLM3, a model with advanced instruction-following and fluent chat abilities.
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  It has shown remarkable performance in instruction-following, speficially by closely following gpt-3.5-turbo.
@@ -95,7 +99,7 @@ _ = model.generate(inputs, streamer=streamer, max_new_tokens=1024)
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  ### Results
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- <img src="kullm3_instruction_evaluation.png" width=100%>
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  ## Citation
 
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  It worked using [vllm](https://github.com/vllm-project/vllm). It may not work with other frameworks as they have not been tested.
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+ Below is the README.md for the original model.
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+ ---
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  # KULLM3
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  Introducing KULLM3, a model with advanced instruction-following and fluent chat abilities.
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  It has shown remarkable performance in instruction-following, speficially by closely following gpt-3.5-turbo.
 
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  ### Results
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+ <img src="https://huggingface.co/nlpai-lab/KULLM3/resolve/main/kullm3_instruction_evaluation.png" width=100%>
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  ## Citation