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---
base_model: microsoft/phi-2
inference: false
language:
- en
license: other
license_link: https://huggingface.co/microsoft/phi-2/resolve/main/LICENSE
license_name: microsoft-research-license
model_creator: Microsoft
model_name: Phi 2
model_type: phi-msft
pipeline_tag: text-generation
quantized_by: Second State Inc.
tags:
- nlp
- code
---
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<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
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# Phi-2-GGUF
## Original Model
[microsoft/phi-2](https://huggingface.co/microsoft/phi-2)
## Run with LlamaEdge
- LlamaEdge version: [v0.2.8](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.2.8) and above
- Prompt template
- Prompt type: `phi-2-instruct`
- Prompt string
```text
Instruct: <prompt>\nOutput:
```
- Context size: `2560`
- Run as LlamaEdge command app
```bash
wasmedge --dir .:. --nn-preload default:GGML:AUTO:phi-2-Q5_K_M.gguf llama-chat.wasm -p phi-2-instruct
```
**Note that `phi-2` here is only used as an instruct model, instead of a chat model.**
## Quantized GGUF Models
| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [phi-2-Q2_K.gguf](https://huggingface.co/second-state/phi-2-GGUF/blob/main/phi-2-Q2_K.gguf) | Q2_K | 2 | 1.11 GB| smallest, significant quality loss - not recommended for most purposes |
| [phi-2-Q3_K_L.gguf](https://huggingface.co/second-state/phi-2-GGUF/blob/main/phi-2-Q3_K_L.gguf) | Q3_K_L | 3 | 1.58 GB| small, substantial quality loss |
| [phi-2-Q3_K_M.gguf](https://huggingface.co/second-state/phi-2-GGUF/blob/main/phi-2-Q3_K_M.gguf) | Q3_K_M | 3 | 1.43 GB| very small, high quality loss |
| [phi-2-Q3_K_S.gguf](https://huggingface.co/second-state/phi-2-GGUF/blob/main/phi-2-Q3_K_S.gguf) | Q3_K_S | 3 | 1.25 GB| very small, high quality loss
| [phi-2-Q4_0.gguf](https://huggingface.co/second-state/phi-2-GGUF/blob/main/phi-2-Q4_0.gguf) | Q4_0 | 4 | 1.60 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [phi-2-Q4_K_M.gguf](https://huggingface.co/second-state/phi-2-GGUF/blob/main/phi-2-Q4_K_M.gguf) | Q4_K_M | 4 | 1.74 GB| medium, balanced quality - recommended |
| [phi-2-Q4_K_S.gguf](https://huggingface.co/second-state/phi-2-GGUF/blob/main/phi-2-Q4_K_S.gguf) | Q4_K_S | 4 | 1.63 GB| small, greater quality loss |
| [phi-2-Q5_0.gguf](https://huggingface.co/second-state/phi-2-GGUF/blob/main/phi-2-Q5_0.gguf) | Q5_0 | 5 | 1.93 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [phi-2-Q5_K_M.gguf](https://huggingface.co/second-state/phi-2-GGUF/blob/main/phi-2-Q5_K_M.gguf) | Q5_K_M | 5 | 2.00 GB| large, very low quality loss - recommended |
| [phi-2-Q5_K_S.gguf](https://huggingface.co/second-state/phi-2-GGUF/blob/main/phi-2-Q5_K_S.gguf) | Q5_K_S | 5 | 1.93 GB| large, low quality loss - recommended |
| [phi-2-Q6_K.gguf](https://huggingface.co/second-state/phi-2-GGUF/blob/main/phi-2-Q6_K.gguf) | Q6_K | 6 | 2.29 GB| very large, extremely low quality loss |
| [phi-2-Q8_0.gguf](https://huggingface.co/second-state/phi-2-GGUF/blob/main/phi-2-Q8_0.gguf) | Q8_0 | 8 | 2.96 GB| very large, extremely low quality loss - not recommended |
|