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sayhan/phi-2-super-GGUF
phi-2-super-GGUF is a text generation model from sayhan. Use it when you need the model to write or continue text. The card lists the license as mit.
- Model creator: Anton Bacaj - Original model: Phi-2 Super
Downloads · 30 days
262
3% of all-time downloads
All-time downloads
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.gguf27 GB · 100%
From the Hugging Face model README

This repo contains GGUF format model files for abacaj's Phi-2 Super
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 | ❌ |
Base Model: microsoft/phi-2
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]"
