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