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Model: RichardErkhov/uygarkurt_-_llama-3-merged-linear-gguf
Source: Original Platform

.gitattributes

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README.md

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+Quantization made by Richard Erkhov.
+
+[Github](https://github.com/RichardErkhov)
+
+[Discord](https://discord.gg/pvy7H8DZMG)
+
+[Request more models](https://github.com/RichardErkhov/quant_request)
+
+
+llama-3-merged-linear - GGUF
+- Model creator: https://huggingface.co/uygarkurt/
+- Original model: https://huggingface.co/uygarkurt/llama-3-merged-linear/
+
+
+| Name | Quant method | Size |
+| ---- | ---- | ---- |
+| [llama-3-merged-linear.Q2_K.gguf](https://huggingface.co/RichardErkhov/uygarkurt_-_llama-3-merged-linear-gguf/blob/main/llama-3-merged-linear.Q2_K.gguf) | Q2_K | 2.96GB |
+| [llama-3-merged-linear.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/uygarkurt_-_llama-3-merged-linear-gguf/blob/main/llama-3-merged-linear.IQ3_XS.gguf) | IQ3_XS | 3.28GB |
+| [llama-3-merged-linear.IQ3_S.gguf](https://huggingface.co/RichardErkhov/uygarkurt_-_llama-3-merged-linear-gguf/blob/main/llama-3-merged-linear.IQ3_S.gguf) | IQ3_S | 3.43GB |
+| [llama-3-merged-linear.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/uygarkurt_-_llama-3-merged-linear-gguf/blob/main/llama-3-merged-linear.Q3_K_S.gguf) | Q3_K_S | 3.41GB |
+| [llama-3-merged-linear.IQ3_M.gguf](https://huggingface.co/RichardErkhov/uygarkurt_-_llama-3-merged-linear-gguf/blob/main/llama-3-merged-linear.IQ3_M.gguf) | IQ3_M | 3.52GB |
+| [llama-3-merged-linear.Q3_K.gguf](https://huggingface.co/RichardErkhov/uygarkurt_-_llama-3-merged-linear-gguf/blob/main/llama-3-merged-linear.Q3_K.gguf) | Q3_K | 3.74GB |
+| [llama-3-merged-linear.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/uygarkurt_-_llama-3-merged-linear-gguf/blob/main/llama-3-merged-linear.Q3_K_M.gguf) | Q3_K_M | 3.74GB |
+| [llama-3-merged-linear.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/uygarkurt_-_llama-3-merged-linear-gguf/blob/main/llama-3-merged-linear.Q3_K_L.gguf) | Q3_K_L | 4.03GB |
+| [llama-3-merged-linear.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/uygarkurt_-_llama-3-merged-linear-gguf/blob/main/llama-3-merged-linear.IQ4_XS.gguf) | IQ4_XS | 4.18GB |
+| [llama-3-merged-linear.Q4_0.gguf](https://huggingface.co/RichardErkhov/uygarkurt_-_llama-3-merged-linear-gguf/blob/main/llama-3-merged-linear.Q4_0.gguf) | Q4_0 | 4.34GB |
+| [llama-3-merged-linear.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/uygarkurt_-_llama-3-merged-linear-gguf/blob/main/llama-3-merged-linear.IQ4_NL.gguf) | IQ4_NL | 4.38GB |
+| [llama-3-merged-linear.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/uygarkurt_-_llama-3-merged-linear-gguf/blob/main/llama-3-merged-linear.Q4_K_S.gguf) | Q4_K_S | 4.37GB |
+| [llama-3-merged-linear.Q4_K.gguf](https://huggingface.co/RichardErkhov/uygarkurt_-_llama-3-merged-linear-gguf/blob/main/llama-3-merged-linear.Q4_K.gguf) | Q4_K | 4.58GB |
+| [llama-3-merged-linear.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/uygarkurt_-_llama-3-merged-linear-gguf/blob/main/llama-3-merged-linear.Q4_K_M.gguf) | Q4_K_M | 4.58GB |
+| [llama-3-merged-linear.Q4_1.gguf](https://huggingface.co/RichardErkhov/uygarkurt_-_llama-3-merged-linear-gguf/blob/main/llama-3-merged-linear.Q4_1.gguf) | Q4_1 | 4.78GB |
+| [llama-3-merged-linear.Q5_0.gguf](https://huggingface.co/RichardErkhov/uygarkurt_-_llama-3-merged-linear-gguf/blob/main/llama-3-merged-linear.Q5_0.gguf) | Q5_0 | 5.21GB |
+| [llama-3-merged-linear.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/uygarkurt_-_llama-3-merged-linear-gguf/blob/main/llama-3-merged-linear.Q5_K_S.gguf) | Q5_K_S | 5.21GB |
+| [llama-3-merged-linear.Q5_K.gguf](https://huggingface.co/RichardErkhov/uygarkurt_-_llama-3-merged-linear-gguf/blob/main/llama-3-merged-linear.Q5_K.gguf) | Q5_K | 5.34GB |
+| [llama-3-merged-linear.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/uygarkurt_-_llama-3-merged-linear-gguf/blob/main/llama-3-merged-linear.Q5_K_M.gguf) | Q5_K_M | 5.34GB |
+| [llama-3-merged-linear.Q5_1.gguf](https://huggingface.co/RichardErkhov/uygarkurt_-_llama-3-merged-linear-gguf/blob/main/llama-3-merged-linear.Q5_1.gguf) | Q5_1 | 5.65GB |
+| [llama-3-merged-linear.Q6_K.gguf](https://huggingface.co/RichardErkhov/uygarkurt_-_llama-3-merged-linear-gguf/blob/main/llama-3-merged-linear.Q6_K.gguf) | Q6_K | 6.14GB |
+| [llama-3-merged-linear.Q8_0.gguf](https://huggingface.co/RichardErkhov/uygarkurt_-_llama-3-merged-linear-gguf/blob/main/llama-3-merged-linear.Q8_0.gguf) | Q8_0 | 7.95GB |
+
+
+
+
+Original model description:
+---
+library_name: transformers
+license: mit
+---
+
+# LLM Model Merging
+
+## YouTube Tutorial
+<div align="center">
+    <a href="https://youtu.be/gNXBp3wttFU">Model Merging: Merge LLMs to Create Frankestein Models - Python, HuggingFace, Mergekit</a>
+    <br>
+    <br>
+    <a href="https://youtu.be/gNXBp3wttFU">
+        <img src="./thumbnail1-button.png" height="85%" width="85%%"/>
+    </a>
+</div>
+
+## GitHub
+You can find the GitHub from here; https://github.com/uygarkurt/Model-Merge
+
+In this specific case, I typed `llama-3` into the open LLM leaderboard, took the best 3 models, merged them and created
+a better ranking model wihtout any training.
+
+As the main libraries we will be using [mergekit](https://github.com/arcee-ai/mergekit).
+
+<br/>
+<div align="center">
+    <a href="">
+        <img alt="open-source-image"
+		src="https://img.shields.io/badge/%E2%9D%A4%EF%B8%8F_Open_Source-%2350C878?style=for-the-badge"/>
+    </a>
+    <a href="https://youtu.be/gNXBp3wttFU">
+        <img alt="youtube-tutorial"
+        src="https://img.shields.io/badge/YouTube_Tutorial-grey?style=for-the-badge&logo=YouTube&logoColor=%23FF0000"/>
+    </a>
+    <a href="https://github.com/uygarkurt/Model-Merge">
+      <img alt="github-image"
+      src="https://img.shields.io/badge/github-%23121011.svg?style=for-the-badge&logo=github&logoColor=white"
+    </a>
+</div>
+

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