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README.md

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+---
+-license: other
+-license_link: https://huggingface.co/microsoft/phi-2/resolve/main/LICENSE
+-license_name: microsoft-research-license
+base_model: Yhyu13/LMCocktail-phi-2-v1
+inference: false
+model_creator: Yhyu13
+model_name: LMCocktail-phi-2-v1
+pipeline_tag: text-generation
+quantized_by: afrideva
+tags:
+- gguf
+- ggml
+- quantized
+- q2_k
+- q3_k_m
+- q4_k_m
+- q5_k_m
+- q6_k
+- q8_0
+---
+# Yhyu13/LMCocktail-phi-2-v1-GGUF
+
+Quantized GGUF model files for [LMCocktail-phi-2-v1](https://huggingface.co/Yhyu13/LMCocktail-phi-2-v1) from [Yhyu13](https://huggingface.co/Yhyu13)
+
+
+| Name | Quant method | Size |
+| ---- | ---- | ---- |
+| [lmcocktail-phi-2-v1.fp16.gguf](https://huggingface.co/afrideva/LMCocktail-phi-2-v1-GGUF/resolve/main/lmcocktail-phi-2-v1.fp16.gguf) | fp16 | 5.56 GB  |
+| [lmcocktail-phi-2-v1.q2_k.gguf](https://huggingface.co/afrideva/LMCocktail-phi-2-v1-GGUF/resolve/main/lmcocktail-phi-2-v1.q2_k.gguf) | q2_k | 1.17 GB  |
+| [lmcocktail-phi-2-v1.q3_k_m.gguf](https://huggingface.co/afrideva/LMCocktail-phi-2-v1-GGUF/resolve/main/lmcocktail-phi-2-v1.q3_k_m.gguf) | q3_k_m | 1.48 GB  |
+| [lmcocktail-phi-2-v1.q4_k_m.gguf](https://huggingface.co/afrideva/LMCocktail-phi-2-v1-GGUF/resolve/main/lmcocktail-phi-2-v1.q4_k_m.gguf) | q4_k_m | 1.79 GB  |
+| [lmcocktail-phi-2-v1.q5_k_m.gguf](https://huggingface.co/afrideva/LMCocktail-phi-2-v1-GGUF/resolve/main/lmcocktail-phi-2-v1.q5_k_m.gguf) | q5_k_m | 2.07 GB  |
+| [lmcocktail-phi-2-v1.q6_k.gguf](https://huggingface.co/afrideva/LMCocktail-phi-2-v1-GGUF/resolve/main/lmcocktail-phi-2-v1.q6_k.gguf) | q6_k | 2.29 GB  |
+| [lmcocktail-phi-2-v1.q8_0.gguf](https://huggingface.co/afrideva/LMCocktail-phi-2-v1-GGUF/resolve/main/lmcocktail-phi-2-v1.q8_0.gguf) | q8_0 | 2.96 GB  |
+
+
+
+## Original Model Card:
+# LM-cocktail phi-2 v1
+
+
+This is a 50%-50% model of the phi2 alpca gpt4 and phi2 ultrachat200K models.
+
+https://huggingface.co/Yhyu13/phi-2-sft-alpaca_gpt4_en-ep1
+
+https://huggingface.co/venkycs/phi-2-ultrachat200k
+
+
+
+# Code
+
+The LM-cocktail is novel technique for merging multiple models https://arxiv.org/abs/2311.13534
+
+Code is backed up by this repo https://github.com/FlagOpen/FlagEmbedding.git
+
+Merging scripts available under the [./scripts](./scripts) folder