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--- |
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base_model: microsoft/phi-2 |
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inference: false |
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language: |
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- en |
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license: other |
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license_link: https://huggingface.co/microsoft/phi-3/resolve/main/LICENSE |
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license_name: microsoft-research-license |
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model_creator: Microsoft |
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model_name: Phi 3 |
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model_type: phi-msft |
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pipeline_tag: text-generation |
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prompt_template: 'Instruct: {prompt} |
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Output: |
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' |
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quantized_by: HDKLK |
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tags: |
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- nlp |
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- code |
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--- |
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## Provided files |
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| Name | Quant method | Bits | Size | Max RAM required | Use case | |
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| ---- | ---- | ---- | ---- | ---- | ----- | |
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| [Phi-3-mini-128k-instructQ2_K.gguf](https://huggingface.co/HDKLK/Phi-3-mini-128k-instruct-gguf/blob/main/Phi-3-mini-128k-instructQ2_K.gguf) | Q2_K | 2 | 1.42 GB| 3.67 GB | smallest, significant quality loss - not recommended for most purposes | |
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| [Phi-3-mini-128k-instructQ3_K_L.gguf](https://huggingface.co/HDKLK/Phi-3-mini-128k-instruct-gguf/blob/main/Phi-3-mini-128k-instructQ3_K_L.gguf) | Q3_K_L | 3 | 2.09 GB| 4.10 GB | small, substantial quality loss | |
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| [Phi-3-mini-128k-instructQ3_K_M.gguf](https://huggingface.co/HDKLK/Phi-3-mini-128k-instruct-gguf/blob/main/Phi-3-mini-128k-instructQ3_K_M.gguf) | Q3_K_M | 3 | 1.96 GB| 3.98 GB | very small, high quality loss | |
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| [Phi-3-mini-128k-instructQ3_K_S.gguf](https://huggingface.co/HDKLK/Phi-3-mini-128k-instruct-gguf/blob/main/Phi-3-mini-128k-instructQ3_K_S.gguf) | Q3_K_S | 3 | 1.68 GB| 3.75 GB | very small, high quality loss | |
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| [Phi-3-mini-128k-instructQ4_K_M.gguf](https://huggingface.co/HDKLK/Phi-3-mini-128k-instruct-gguf/blob/main/Phi-3-mini-128k-instructQ4_K_M.gguf) | Q4_K_M | 4 | 2.39 GB| 4.29 GB | medium, balanced quality - recommended | |
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| [Phi-3-mini-128k-instructQ4_K_S.gguf](https://huggingface.co/HDKLK/Phi-3-mini-128k-instruct-gguf/blob/main/Phi-3-mini-128k-instructQ4_K_S.gguf) | Q4_K_S | 4 | 2.19 GB| 4.12 GB | small, greater quality loss | |
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| [Phi-3-mini-128k-instructQ5_K_M.gguf](https://huggingface.co/HDKLK/Phi-3-mini-128k-instruct-gguf/blob/main/Phi-3-mini-128k-instructQ5_K_M.gguf) | Q5_K_M | 5 | 2.82 GB| 4.57 GB | large, very low quality loss - recommended | |
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| [Phi-3-mini-128k-instructQ5_K_S.gguf](https://huggingface.co/HDKLK/Phi-3-mini-128k-instruct-gguf/blob/main/Phi-3-mini-128k-instructQ5_K_S.gguf) | Q5_K_S | 5 | 2.64 GB| 4.43 GB | large, low quality loss - recommended | |
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| [Phi-3-mini-128k-instructQ6_K.gguf](https://huggingface.co/HDKLK/Phi-3-mini-128k-instruct-gguf/blob/main/Phi-3-mini-128k-instructQ6_K.gguf) | Q6_K | 6 | 3.14 GB| 4.79 GB | very large, extremely low quality loss | |
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| [Phi-3-mini-128k-instructQ8_0.gguf](https://huggingface.co/HDKLK/Phi-3-mini-128k-instruct-gguf/blob/main/Phi-3-mini-128k-instructQ8_0.gguf) | Q8_0 | 8 | 4.06 GB| 5.46 GB | very large, extremely low quality loss - not recommended | |
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## How to download GGUF files |
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The following clients/libraries will automatically download models for you, providing a list of available models to choose from: |
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* LM Studio |
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* LoLLMS Web UI |
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* Faraday.dev |
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