---
title: Phi-3.5-mini-instruct-GGUF
canonical_url: "https://www.modelscope.cn/models/LLM-Research/Phi-3.5-mini-instruct-GGUF"
md_url: "https://www.modelscope.cn/models/LLM-Research/Phi-3.5-mini-instruct-GGUF.md"
repository: LLM-Research/Phi-3.5-mini-instruct-GGUF
last_updated: 2024-08-21
license: mit
pipeline_tag: text-generation
tasks:
  - text-generation
base_model:
  - microsoft/Phi-3.5-mini-instruct
base_model_relation: quantized
library_name:
  - gguf
  - pytorch
frameworks:
  - pytorch
language:
  - multilingual
downloads: 1859
stars: 6
tags:
  - nlp
  - code
  - gguf
---

# Phi-3.5-mini-instruct-GGUF

> Phi-3.5-mini-instruct-GGUF - LLM-Research 在 ModelScope 开源的模型。💫 Community Model> Phi 3.5 mini instruct by Microsoft

LLM-Research/Phi-3.5-mini-instruct-GGUF 是 ModelScope 魔搭社区上的text-generation模型，采用 mit 许可，基于 microsoft/Phi-3.5-mini-instruct 构建。

- **Repository**: LLM-Research/Phi-3.5-mini-instruct-GGUF
- **License**: mit
- **Tasks**: text-generation
- **Base model**: microsoft/Phi-3.5-mini-instruct
- **Tags**: nlp, code, gguf
- **Downloads**: 1859
- **Stars**: 6
- **Last updated**: 2024-08-21

Source: https://www.modelscope.cn/models/LLM-Research/Phi-3.5-mini-instruct-GGUF

---

## 💫 Community Model> Phi 3.5 mini instruct by Microsoft

*👾 [LM Studio](https://lmstudio.ai) Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on [Discord](https://discord.gg/aPQfnNkxGC)*.

**Model creator:** [microsoft](https://huggingface.co/microsoft)<br>
**Original model**: [Phi-3.5-mini-instruct](https://huggingface.co/microsoft/Phi-3.5-mini-instruct)<br>
**GGUF quantization:** provided by [bartowski](https://huggingface.co/bartowski) based on `llama.cpp` release [b3600](https://github.com/ggerganov/llama.cpp/releases/tag/b3600)<br>

## Model Summary:
Phi-3.5-mini is a lightweight, state-of-the-art open model built upon datasets used for Phi-3 - synthetic data and filtered publicly available websites - with a focus on very high-quality, reasoning dense data. The model belongs to the Phi-3 model family and supports 128K token context length. The model underwent a rigorous enhancement process, incorporating both supervised fine-tuning, proximal policy optimization, and direct preference optimization to ensure precise instruction adherence and robust safety measures.

## Prompt Template:

Choose the `Phi 3` preset in your LM Studio.
Under the hood, the model will see a prompt that's formatted like so:

```
<|system|>
You are a helpful AI assistant.<|end|>
<|user|>
{prompt}<|end|>
<|assistant|>

```

## Technical Details
Phi-3.5-mini supports 128K context length with longrope

It also performs very well with multilingual tasks.

## Special thanks

🙏 Special thanks to [Georgi Gerganov](https://github.com/ggerganov) and the whole team working on [llama.cpp](https://github.com/ggerganov/llama.cpp/) for making all of this possible.

🙏 Special thanks to [Kalomaze](https://github.com/kalomaze) and [Dampf](https://github.com/Dampfinchen) for their work on the dataset (linked [here](https://gist.github.com/bartowski1182/eb213dccb3571f863da82e99418f81e8)) that was used for calculating the imatrix for all sizes.

## Disclaimers

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