---
base_model: Yhyu13/phi-2-sft-alpaca_gpt4_en-ep1
inference: false
license: other
license_link: https://huggingface.co/microsoft/phi-2/resolve/main/LICENSE
license_name: microsoft-research-license
model_creator: Yhyu13
model_name: phi-2-sft-alpaca_gpt4_en-ep1
pipeline_tag: text-generation
quantized_by: afrideva
tags:
- gguf
- ggml
- quantized
- q2_k
- q3_k_m
- q4_k_m
- q5_k_m
- q6_k
- q8_0
---
# Yhyu13/phi-2-sft-alpaca_gpt4_en-ep1-GGUF

Quantized GGUF model files for [phi-2-sft-alpaca_gpt4_en-ep1](https://huggingface.co/Yhyu13/phi-2-sft-alpaca_gpt4_en-ep1) from [Yhyu13](https://huggingface.co/Yhyu13)


| Name | Quant method | Size |
| ---- | ---- | ---- |
| [phi-2-sft-alpaca_gpt4_en-ep1.fp16.gguf](https://huggingface.co/afrideva/phi-2-sft-alpaca_gpt4_en-ep1-GGUF/resolve/main/phi-2-sft-alpaca_gpt4_en-ep1.fp16.gguf) | fp16 | 5.56 GB  |
| [phi-2-sft-alpaca_gpt4_en-ep1.q2_k.gguf](https://huggingface.co/afrideva/phi-2-sft-alpaca_gpt4_en-ep1-GGUF/resolve/main/phi-2-sft-alpaca_gpt4_en-ep1.q2_k.gguf) | q2_k | 1.17 GB  |
| [phi-2-sft-alpaca_gpt4_en-ep1.q3_k_m.gguf](https://huggingface.co/afrideva/phi-2-sft-alpaca_gpt4_en-ep1-GGUF/resolve/main/phi-2-sft-alpaca_gpt4_en-ep1.q3_k_m.gguf) | q3_k_m | 1.48 GB  |
| [phi-2-sft-alpaca_gpt4_en-ep1.q4_k_m.gguf](https://huggingface.co/afrideva/phi-2-sft-alpaca_gpt4_en-ep1-GGUF/resolve/main/phi-2-sft-alpaca_gpt4_en-ep1.q4_k_m.gguf) | q4_k_m | 1.79 GB  |
| [phi-2-sft-alpaca_gpt4_en-ep1.q5_k_m.gguf](https://huggingface.co/afrideva/phi-2-sft-alpaca_gpt4_en-ep1-GGUF/resolve/main/phi-2-sft-alpaca_gpt4_en-ep1.q5_k_m.gguf) | q5_k_m | 2.07 GB  |
| [phi-2-sft-alpaca_gpt4_en-ep1.q6_k.gguf](https://huggingface.co/afrideva/phi-2-sft-alpaca_gpt4_en-ep1-GGUF/resolve/main/phi-2-sft-alpaca_gpt4_en-ep1.q6_k.gguf) | q6_k | 2.29 GB  |
| [phi-2-sft-alpaca_gpt4_en-ep1.q8_0.gguf](https://huggingface.co/afrideva/phi-2-sft-alpaca_gpt4_en-ep1-GGUF/resolve/main/phi-2-sft-alpaca_gpt4_en-ep1.q8_0.gguf) | q8_0 | 2.96 GB  |



## Original Model Card:
This is the merged model for LoRA https://huggingface.co/Yhyu13/phi-2-sft-alpaca_gpt4_en-ep1-lora

---

From this
https://huggingface.co/microsoft/phi-2/discussions/38

Since phi2 requires remote code which HF open llm leaderboard would not accept at this moment,

I ran phi2 and my sft to the AlpcaEval benchmark

https://tatsu-lab.github.io/alpaca_eval/

Here is result evaluated by chatpgpt https://github.com/tatsu-lab/alpaca_eval/pull/183

```
                       win_rate  standard_error  n_total  avg_length
gpt4                      73.79            1.54      805        1365
claude                    70.37            1.60      805        1082
chatgpt                   66.09            1.66      805         811
wizardlm-13b              65.16            1.67      805         985
vicuna-13b                64.10            1.69      805        1037
guanaco-65b               62.36            1.71      805        1249
oasst-rlhf-llama-33b      62.05            1.71      805        1079
alpaca-farm-ppo-human     60.25            1.72      805         803
falcon-40b-instruct       56.52            1.74      805         662
phi-2-alpaca-gpt4(new)    54.23            1.75      804        1138
text_davinci_003          50.00            0.00      805         307
alpaca-7b                 45.22            1.74      805         396
phi-2(new)                43.79            1.74      805         924
text_davinci_001          28.07            1.56      805         296
```

It could be a milestone for small models, we finally have one open model can run for everyone which surpass GPT3.5!