license, license_link, language, widget, tags, pipeline_tag, inference

license	license_link	language	widget	tags	pipeline_tag	inference
mit	https://huggingface.co/microsoft/phi-2/resolve/main/LICENSE	en	text example_title Hello who are you? Identity text example_title What can you do? Capabilities text example_title Create a fastapi endpoint to retrieve the weather given a zip code. Coding	convAI conversational	text-generation	false

Phi-2 Super (SFT + cDPO)

• Model creator: Anton Bacaj
• Original model: Phi-2 Super

Description

This repo contains GGUF format model files for abacaj's Phi-2 Super

Quantization types

Since the model is relatively very small, I recommend the larger quantizations.

quantization method	bits	description	recommended
Q2_K	2	smallest, significant quality loss	❌
Q3_K_S	3	very small, high quality loss	❌
Q3_K_M	3	very small, high quality loss	❌
Q3_K_L	3	small, substantial quality loss	❌
Q4_0	4	legacy; small, very high quality loss	❌
Q4_K_M	4	medium, balanced quality	❌
Q5_0	5	legacy; medium, balanced quality	❌
Q5_K_S	5	large, low quality loss	✅
Q5_K_M	5	large, very low quality loss	✅
Q6_K	6	very large, extremely low quality loss	❌
Q8_0	8	very large, extremely low quality loss	❌
FP16	16	enormous, negligible quality loss	❌

Phi-2-super (SFT + cDPO)

Base Model: microsoft/phi-2

Chat template

The model uses the same chat template as found in Mistral instruct models:

text = "<|endoftext|>[INST] What is your favourite condiment? [/INST]"
"Well, I'm quite partial to a good squeeze of fresh lemon juice. It adds just the right amount of zesty flavour to whatever I'm cooking up in the kitchen!<|endoftext|> "
"[INST] Do you have mayonnaise recipes? [/INST]"

MT-bench / heval