39 lines
2.0 KiB
Markdown
39 lines
2.0 KiB
Markdown
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---
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base_model: KathirKs/phi-2_LogiCoT_finetuned
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inference: false
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model_creator: KathirKs
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model_name: phi-2_LogiCoT_finetuned
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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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# KathirKs/phi-2_LogiCoT_finetuned-GGUF
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Quantized GGUF model files for [phi-2_LogiCoT_finetuned](https://huggingface.co/KathirKs/phi-2_LogiCoT_finetuned) from [KathirKs](https://huggingface.co/KathirKs)
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| Name | Quant method | Size |
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| ---- | ---- | ---- |
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| [phi-2_logicot_finetuned.fp16.gguf](https://huggingface.co/afrideva/phi-2_LogiCoT_finetuned-GGUF/resolve/main/phi-2_logicot_finetuned.fp16.gguf) | fp16 | 5.56 GB |
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| [phi-2_logicot_finetuned.q2_k.gguf](https://huggingface.co/afrideva/phi-2_LogiCoT_finetuned-GGUF/resolve/main/phi-2_logicot_finetuned.q2_k.gguf) | q2_k | 1.17 GB |
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| [phi-2_logicot_finetuned.q3_k_m.gguf](https://huggingface.co/afrideva/phi-2_LogiCoT_finetuned-GGUF/resolve/main/phi-2_logicot_finetuned.q3_k_m.gguf) | q3_k_m | 1.48 GB |
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| [phi-2_logicot_finetuned.q4_k_m.gguf](https://huggingface.co/afrideva/phi-2_LogiCoT_finetuned-GGUF/resolve/main/phi-2_logicot_finetuned.q4_k_m.gguf) | q4_k_m | 1.79 GB |
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| [phi-2_logicot_finetuned.q5_k_m.gguf](https://huggingface.co/afrideva/phi-2_LogiCoT_finetuned-GGUF/resolve/main/phi-2_logicot_finetuned.q5_k_m.gguf) | q5_k_m | 2.07 GB |
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| [phi-2_logicot_finetuned.q6_k.gguf](https://huggingface.co/afrideva/phi-2_LogiCoT_finetuned-GGUF/resolve/main/phi-2_logicot_finetuned.q6_k.gguf) | q6_k | 2.29 GB |
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| [phi-2_logicot_finetuned.q8_0.gguf](https://huggingface.co/afrideva/phi-2_LogiCoT_finetuned-GGUF/resolve/main/phi-2_logicot_finetuned.q8_0.gguf) | q8_0 | 2.96 GB |
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## Original Model Card:
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I am not the owner of this model's license. Please refer to the original model card for licensing information: [https://huggingface.co/microsoft/phi-2/blob/main/LICENSE]
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This model belongs to Microsoft Research.
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This is finetuned using just 500 samples LogiCoT (Chain of Thought) prompting dataset.
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