Yhyu13/phi-2-sft-alpaca_gpt4_en-ep1-GGUF

Quantized GGUF model files for phi-2-sft-alpaca_gpt4_en-ep1 from Yhyu13

Name	Quant method	Size
phi-2-sft-alpaca_gpt4_en-ep1.fp16.gguf	fp16	5.56 GB
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	q3_k_m	1.48 GB
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	q5_k_m	2.07 GB
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	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

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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!