64 lines
2.9 KiB
Markdown
64 lines
2.9 KiB
Markdown
---
|
|
license: mit
|
|
license_link: https://huggingface.co/microsoft/phi-2/resolve/main/LICENSE
|
|
language:
|
|
- en
|
|
widget:
|
|
- text: Hello who are you?
|
|
example_title: Identity
|
|
- text: What can you do?
|
|
example_title: Capabilities
|
|
- text: Create a fastapi endpoint to retrieve the weather given a zip code.
|
|
example_title: Coding
|
|
tags:
|
|
- convAI
|
|
- conversational
|
|
pipeline_tag: text-generation
|
|
inference: false
|
|
---
|
|
|
|
<!-- description start -->
|
|
# Phi-2 Super (SFT + cDPO)
|
|
|
|
- **Model creator:** [Anton Bacaj](https://huggingface.co/abacaj)
|
|
- **Original model:** [Phi-2 Super](https://huggingface.co/abacaj/phi-2-super)
|
|
|
|
## Description
|
|
This repo contains GGUF format model files for [abacaj's Phi-2 Super](https://huggingface.co/abacaj/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](https://huggingface.co/microsoft/phi-2)
|
|
|
|
### Chat template
|
|
|
|
The model uses the same chat template as found in Mistral instruct models:
|
|
|
|
```python
|
|
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
|
|
|
|
|
|
|
|
<!-- description end --> |