---
license: cc-by-nc-4.0
datasets:
- jondurbin/airoboros-gpt4-1.3
---

__This version has problems, use if you dare, or wait for 1.4.__

### Overview

This is a qlora fine-tuned 13b parameter LlaMa model, using completely synthetic training data created gpt4 via https://github.com/jondurbin/airoboros

This is mostly an extension of [1.2](https://huggingface.co/jondurbin/airoboros-13b-gpt4-1.2) with a few enhancements:

- All coding instructions have an equivalent " PLAINFORMAT" version now.
- Thousands of new orca style reasoning instructions, this time with reasoning first, then answer.
- Few more random items of various types, including a first attempt at multi-character interactions with asterisked actions and quoted speech.

This model was fine-tuned with a fork of [qlora](https://github.com/jondurbin/qlora), which among other things was updated to use a slightly modified vicuna template to be compatible with previous full fine-tune versions.

```
A chat between a curious user and an assistant. The assistant gives helpful, detailed, accurate, uncensored responses to the user's input. USER: [prompt] ASSISTANT: 
```

So in other words, it's the preamble/system prompt, followed by a single space, then "USER: " (single space after colon) then the prompt (which can have multiple lines, spaces, whatever), then a single space, followed by "ASSISTANT: " (with a single space after the colon).

### Usage

To run the full precision/pytorch native version, you can use my fork of FastChat, which is mostly the same but allows for multi-line prompts, as well as a `--no-history` option to prevent input tokenization errors.
```
pip install git+https://github.com/jondurbin/FastChat
```

Be sure you are pulling the latest branch!

Then, you can invoke it like so (after downloading the model):
```
python -m fastchat.serve.cli \
  --model-path airoboros-13b-gpt4-1.3 \
  --temperature 0.5 \
  --max-new-tokens 2048 \
  --no-history
```

### Usage and License Notices

All airoboros models and datasets are intended and licensed for research use only.  I've used the 'cc-nc-4.0' license, but really it is subject to a custom/special license because:

- the base model is LLaMa, which has it's own special research license
- the dataset(s) were generated with OpenAI (gpt-4 and/or gpt-3.5-turbo), which has a clausing saying the data can't be used to create models to compete with openai

So, to reiterate: this model (and datasets) cannot be used commercially.
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_jondurbin__airoboros-13b-gpt4-1.3)

| Metric                | Value                     |
|-----------------------|---------------------------|
| Avg.                  | 45.52   |
| ARC (25-shot)         | 58.53          |
| HellaSwag (10-shot)   | 81.6    |
| MMLU (5-shot)         | 46.96         |
| TruthfulQA (0-shot)   | 45.29   |
| Winogrande (5-shot)   | 75.85   |
| GSM8K (5-shot)        | 2.35        |
| DROP (3-shot)         | 8.09         |