初始化项目，由ModelHub XC社区提供模型

Model: sayhan/phi-2-super-GGUF
Source: Original Platform

README.md

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+---
+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)
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/62ceeb27e7f6014c0e9d9268/5-LQCMrXi8FN_ewcWL47v.png)
+- **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
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/62ceeb27e7f6014c0e9d9268/lnFu3x1ufdpQVysIrX4-G.png)
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/62ceeb27e7f6014c0e9d9268/mJfBpH8dIW7Ii2KAGI_A7.png)
+<!-- description end -->