|
--- |
|
license: apache-2.0 |
|
language: |
|
- en |
|
- de |
|
- es |
|
- fr |
|
tags: |
|
- sft |
|
inference: false |
|
datasets: |
|
- OpenAssistant/oasst1 |
|
--- |
|
|
|
# Open-Assistant Llama2 70B SFT OASST |
|
|
|
This model is a fine-tuning of [Llama2 70B](https://huggingface.co/meta-llama/Llama-2-70b-hf) LLM. |
|
It was trained on a mixture of OASST top-1 threads. |
|
## Model Details |
|
|
|
- **Finetuned from:** [Llama2 70B](https://huggingface.co/meta-llama/Llama-2-70b-hf) |
|
- **Model type:** Causal decoder-only transformer language model |
|
- **Language:** English, German, Spanish, French (and limited capabilities in Italian, Portuguese, Polish, Dutch, Romanian, Czech, Swedish); |
|
- **License:** Apache 2.0 |
|
- **Contact:** [Open-Assistant Discord](https://ykilcher.com/open-assistant-discord) |
|
|
|
## Prompting |
|
|
|
Two special tokens are used to mark the beginning of user and assistant turns: |
|
`<|prompter|>` and `<|assistant|>`. Each turn ends with a `</s>` token. |
|
|
|
Input prompt example: |
|
``` |
|
<|prompter|>What is a meme, and what's the history behind this word?</s><|assistant|> |
|
``` |
|
The input ends with the `<|assistant|>` token to signal that the model should |
|
start generating the assistant reply. |
|
|
|
|
|
# [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_jordiclive__Llama-2-70b-oasst-1-200) |
|
|
|
| Metric | Value | |
|
|-----------------------|---------------------------| |
|
| Avg. | 57.11 | |
|
| ARC (25-shot) | 67.66 | |
|
| HellaSwag (10-shot) | 87.24 | |
|
| MMLU (5-shot) | 69.95 | |
|
| TruthfulQA (0-shot) | 51.28 | |
|
| Winogrande (5-shot) | 84.14 | |
|
| GSM8K (5-shot) | 32.75 | |
|
| DROP (3-shot) | 6.73 | |
|
|
