File size: 1,015 Bytes
154895d
9b7fe7a
 
 
 
 
 
 
 
 
 
 
 
 
154895d
 
9b7fe7a
154895d
9b7fe7a
154895d
9b7fe7a
154895d
9b7fe7a
 
154895d
9b7fe7a
154895d
9b7fe7a
154895d
9b7fe7a
 
154895d
9b7fe7a
154895d
9b7fe7a
 
154895d
9b7fe7a
 
 
154895d
9b7fe7a
154895d
9b7fe7a
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
---
language:
- en
license: mit
tags:
- trl
- sft
- sgd
base_model: mistralai/Mistral-7B-Instruct-v0.3
datasets:
- nroggendorff/mayo
model-index:
- name: mayo
  results: []
---

# Mayonnaise LLM

Mayo is a language model fine-tuned on the [Mayo dataset](https://huggingface.co/datasets/nroggendorff/mayo) using Supervised Fine-Tuning (SFT) and Teacher Reinforced Learning (TRL) techniques. It is based on the [Mistral 7b Model](mistralai/Mistral-7B-Instruct-v0.3)

## Features

- Utilizes SFT and TRL techniques for improved performance
- Supports English language

## Usage

To use the Mayo LLM, you can load the model using the Hugging Face Transformers library:

```python
from transformers import pipeline

pipe = pipeline("text-generation", model="nroggendorff/mayo")

question = "What color is the sky?"
conv = [{"role": "user", "content": question}]

response = pipe(conv, max_new_tokens=32)[0]['generated_text'][-1]['content']
print(response)
```

## License

This project is licensed under the MIT License.