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Update README.md

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@@ -4,8 +4,10 @@ tags:
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  - merge
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  - mergekit
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  - lazymergekit
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- - sethuiyer/SynthIQ-7b
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- - openchat/openchat-3.5-0106
 
 
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  ---
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  # Chikuma
@@ -14,7 +16,6 @@ tags:
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  <img src="https://huggingface.co/sethuiyer/Chikuma/resolve/main/chikuma.webp" height="256px" alt="Chikuma">
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  </p>
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- # Chikuma
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  Chikuma is a 10.7B parameter model and is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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  * [sethuiyer/SynthIQ-7b](https://huggingface.co/sethuiyer/SynthIQ-7b)
@@ -49,7 +50,7 @@ from transformers import AutoTokenizer
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  import transformers
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  import torch
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- model = "sethuiyer/Chikuma"
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  messages = [{"role": "user", "content": "What is a large language model?"}]
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  tokenizer = AutoTokenizer.from_pretrained(model)
 
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  - merge
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  - mergekit
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  - lazymergekit
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+ language:
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+ - en
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+ library_name: transformers
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+ pipeline_tag: text-generation
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  ---
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  # Chikuma
 
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  <img src="https://huggingface.co/sethuiyer/Chikuma/resolve/main/chikuma.webp" height="256px" alt="Chikuma">
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  </p>
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  Chikuma is a 10.7B parameter model and is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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  * [sethuiyer/SynthIQ-7b](https://huggingface.co/sethuiyer/SynthIQ-7b)
 
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  import transformers
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  import torch
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+ model = "sethuiyer/Chikuma_10.7B"
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  messages = [{"role": "user", "content": "What is a large language model?"}]
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  tokenizer = AutoTokenizer.from_pretrained(model)