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Model: uygarkurt/llama-3-merged-linear Source: Original Platform
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*.7z filter=lfs diff=lfs merge=lfs -text
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README.md
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README.md
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---
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library_name: transformers
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license: mit
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---
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# LLM Model Merging
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## YouTube Tutorial
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<div align="center">
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<a href="https://youtu.be/gNXBp3wttFU">Model Merging: Merge LLMs to Create Frankestein Models - Python, HuggingFace, Mergekit</a>
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<br>
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<br>
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<a href="https://youtu.be/gNXBp3wttFU">
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<img src="./thumbnail1-button.png" height="85%" width="85%%"/>
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</a>
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</div>
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## GitHub
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You can find the GitHub from here; https://github.com/uygarkurt/Model-Merge
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In this specific case, I typed `llama-3` into the open LLM leaderboard, took the best 3 models, merged them and created
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a better ranking model wihtout any training.
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As the main libraries we will be using [mergekit](https://github.com/arcee-ai/mergekit).
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<br/>
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<div align="center">
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<a href="">
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<img alt="open-source-image"
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src="https://img.shields.io/badge/%E2%9D%A4%EF%B8%8F_Open_Source-%2350C878?style=for-the-badge"/>
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</a>
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<a href="https://youtu.be/gNXBp3wttFU">
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<img alt="youtube-tutorial"
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src="https://img.shields.io/badge/YouTube_Tutorial-grey?style=for-the-badge&logo=YouTube&logoColor=%23FF0000"/>
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</a>
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<a href="https://github.com/uygarkurt/Model-Merge">
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<img alt="github-image"
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src="https://img.shields.io/badge/github-%23121011.svg?style=for-the-badge&logo=github&logoColor=white"
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</a>
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</div>
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config.json
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{
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"architectures": [
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"LlamaForCausalLM"
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],
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"tie_word_embeddings": false,
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16
special_tokens_map.json
Normal file
16
special_tokens_map.json
Normal file
@@ -0,0 +1,16 @@
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||||
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||||
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||||
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||||
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BIN
thumbnail1-button.png
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thumbnail1-button.png
Normal file
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410504
tokenizer.json
Normal file
410504
tokenizer.json
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2062
tokenizer_config.json
Normal file
2062
tokenizer_config.json
Normal file
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Load Diff
Reference in New Issue
Block a user