---
base_model: microsoft/Phi-3-medium-128k-instruct
license: mit
license_link: https://huggingface.co/microsoft/Phi-3-medium-128k-instruct/resolve/main/LICENSE
language:
- multilingual
pipeline_tag: text-generation
model_creator: Microsoft
model_name: Phi 3 medium 128k instruct
model_type: phi-msft
quantized_by: Second State Inc.
tags:
- nlp
- code
---

![](https://github.com/GaiaNet-AI/.github/assets/45785633/d6976adc-f97d-4f86-a648-0f2f5c8e7eee)

# Phi-3-medium-128k-instruct-GGUF

## Original Model

[microsoft/Phi-3-medium-128k-instruct](https://huggingface.co/microsoft/Phi-3-medium-128k-instruct)

## Run with Gaianet

**Prompt template**

prompt template: `phi-3-chat`

**Context size**

chat_ctx_size: `5120`

**Run with GaiaNet**

- Quick start: https://docs.gaianet.ai/node-guide/quick-start

- Customize your node: https://docs.gaianet.ai/node-guide/customize

## Quantized GGUF Models

| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [Phi-3-medium-128k-instruct-Q2_K.gguf](https://huggingface.co/gaianet/Phi-3-medium-128k-instruct-GGUF/blob/main/Phi-3-medium-128k-instruct-Q2_K.gguf)     | Q2_K   | 2 | 5.14 GB| smallest, significant quality loss - not recommended for most purposes |
| [Phi-3-medium-128k-instruct-Q3_K_L.gguf](https://huggingface.co/gaianet/Phi-3-medium-128k-instruct-GGUF/blob/main/Phi-3-medium-128k-instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 7.49 GB| small, substantial quality loss |
| [Phi-3-medium-128k-instruct-Q3_K_M.gguf](https://huggingface.co/gaianet/Phi-3-medium-128k-instruct-GGUF/blob/main/Phi-3-medium-128k-instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 6.92 GB| very small, high quality loss |
| [Phi-3-medium-128k-instruct-Q3_K_S.gguf](https://huggingface.co/gaianet/Phi-3-medium-128k-instruct-GGUF/blob/main/Phi-3-medium-128k-instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 6.06 GB| very small, high quality loss |
| [Phi-3-medium-128k-instruct-Q4_0.gguf](https://huggingface.co/gaianet/Phi-3-medium-128k-instruct-GGUF/blob/main/Phi-3-medium-128k-instruct-Q4_0.gguf)     | Q4_0   | 4 | 7.9 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [Phi-3-medium-128k-instruct-Q4_K_M.gguf](https://huggingface.co/gaianet/Phi-3-medium-128k-instruct-GGUF/blob/main/Phi-3-medium-128k-instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 8.57 GB| medium, balanced quality - recommended |
| [Phi-3-medium-128k-instruct-Q4_K_S.gguf](https://huggingface.co/gaianet/Phi-3-medium-128k-instruct-GGUF/blob/main/Phi-3-medium-128k-instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 7.95 GB| small, greater quality loss |
| [Phi-3-medium-128k-instruct-Q5_0.gguf](https://huggingface.co/gaianet/Phi-3-medium-128k-instruct-GGUF/blob/main/Phi-3-medium-128k-instruct-Q5_0.gguf)     | Q5_0   | 5 | 9.62 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [Phi-3-medium-128k-instruct-Q5_K_M.gguf](https://huggingface.co/gaianet/Phi-3-medium-128k-instruct-GGUF/blob/main/Phi-3-medium-128k-instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 10.1 GB| large, very low quality loss - recommended |
| [Phi-3-medium-128k-instruct-Q5_K_S.gguf](https://huggingface.co/gaianet/Phi-3-medium-128k-instruct-GGUF/blob/main/Phi-3-medium-128k-instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 9.62 GB| large, low quality loss - recommended |
| [Phi-3-medium-128k-instruct-Q6_K.gguf](https://huggingface.co/gaianet/Phi-3-medium-128k-instruct-GGUF/blob/main/Phi-3-medium-128k-instruct-Q6_K.gguf)     | Q6_K   | 6 | 11.5 GB| very large, extremely low quality loss |
| [Phi-3-medium-128k-instruct-Q8_0.gguf](https://huggingface.co/gaianet/Phi-3-medium-128k-instruct-GGUF/blob/main/Phi-3-medium-128k-instruct-Q8_0.gguf)     | Q8_0   | 8 | 14.8 GB| very large, extremely low quality loss - not recommended |
| [Phi-3-medium-128k-instruct-f16.gguf](https://huggingface.co/gaianet/Phi-3-medium-128k-instruct-GGUF/blob/main/Phi-3-medium-128k-instruct-f16.gguf)     | f16   | 16 | 27.9 GB|  |

*Quantized with llama.cpp b2961.*