---
base_model: unsloth/llama-3-8b-Instruct-bnb-4bit
language:
- en
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
---

# Uploaded  model

- **Developed by:** wdli
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit

This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.

The model is trained on reddit_depression_dataset, The epoch = 1. 

The training is in dialog format, but the user's input is ignored.

For example

```python
def formatting_prompts_func(examples):
    texts_dataset = examples['text']
    formatted_prompts = []
    for text in texts_dataset:
        dialog = [
            {"role": "system", "content": "You are a patient undergoing depression."},
            # {"role": "user", "content": ""},
            {"role": "assistant", "content": text}
        ]
        formatted_prompt = tokenizer.apply_chat_template(dialog, tokenize=False, add_generation_prompt=False)
        formatted_prompts.append(formatted_prompt)
    return {"text": formatted_prompts}
```