---
base_model: microsoft/phi-2
inference: false
language:
- en
license: other
license_link: https://huggingface.co/microsoft/phi-3/resolve/main/LICENSE
license_name: microsoft-research-license
model_creator: Microsoft
model_name: Phi 3
model_type: phi-msft
pipeline_tag: text-generation
prompt_template: 'Instruct: {prompt}

  Output:

  '
quantized_by: HDKLK
tags:
- nlp
- code
---


## Provided files

| Name | Quant method | Bits | Size | Max RAM required | Use case |
| ---- | ---- | ---- | ---- | ---- | ----- |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |



## How to download GGUF files

The following clients/libraries will automatically download models for you, providing a list of available models to choose from:

* LM Studio
* LoLLMS Web UI
* Faraday.dev