Downloads · 30 days
61
2% of all-time downloads
Llama-3-Instruct-8B-SimPO-ExPO
chujiezheng/Llama-3-Instruct-8B-SimPO-ExPO
Llama-3-Instruct-8B-SimPO-ExPO is a text generation model from chujiezheng. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as llama3.
The extrapolated (ExPO) model based on princeton-nlp/Llama-3-Instruct-8B-SimPO and meta-llama/Meta-Llama-3-8B-Instruct, as in the "Weak-to-Strong Extrapolation Expedites Alignment" paper.
All-time downloads
2.6K
Public
Parameters
8B
16.1 GB on disk
Likes
16
Public
Repo makeup
Click a slice to open those files.
.safetensors16.1 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- llama3
- Model type
- llama
- Access
- Public
- Created
- May 26, 2024
- Updated
- Jun 1, 2024
- SHA
- 3fcaa9fe
Try a prompt
Model card
From the Hugging Face model README
Llama-3-Instruct-8B-SimPO-ExPO
The extrapolated (ExPO) model based on princeton-nlp/Llama-3-Instruct-8B-SimPO and meta-llama/Meta-Llama-3-8B-Instruct, as in the "Weak-to-Strong Extrapolation Expedites Alignment" paper.
Specifically, we obtain this model by extrapolating (alpha = 0.3) from the weights of the SFT and DPO/RLHF checkpoints, achieving superior alignment with human preference.
This extrapolated model achieves the 40.6% win rate and 45.8% LC win rate on AlpacaEval 2.0, outperforming the original Llama-3-Instruct-8B-SimPO's 40.5% and 44.7%, respectively.
Evaluation Results
Evaluation results on the AlpacaEval 2.0 benchmark (you can find the evaluation outputs on the official GitHub repo):
| Win Rate (Ori) | LC Win Rate (Ori) | Win Rate (+ ExPO) | LC Win Rate (+ ExPO) | |
|---|---|---|---|---|
HuggingFaceH4/zephyr-7b-alpha | 6.7% | 10.0% | 10.6% | 13.6% |
HuggingFaceH4/zephyr-7b-beta | 10.2% | 13.2% | 11.1% | 14.0% |
berkeley-nest/Starling-LM-7B-alpha | 15.0% | 18.3% | 18.2% | 19.5% |
Nexusflow/Starling-LM-7B-beta | 26.6% | 25.8% | 29.6% | 26.4% |
snorkelai/Snorkel-Mistral-PairRM | 24.7% | 24.0% | 28.8% | 26.4% |
RLHFlow/LLaMA3-iterative-DPO-final | 29.2% | 36.0% | 32.7% | 37.8% |
internlm/internlm2-chat-1.8b | 3.8% | 4.0% | 5.2% | 4.3% |
internlm/internlm2-chat-7b | 20.5% | 18.3% | 28.1% | 22.7% |
internlm/internlm2-chat-20b | 36.1% | 24.9% | 46.2% | 27.2% |
allenai/tulu-2-dpo-7b | 8.5% | 10.2% | 11.5% | 11.7% |
allenai/tulu-2-dpo-13b | 11.2% | 15.5% | 15.6% | 17.6% |
allenai/tulu-2-dpo-70b | 15.4% | 21.2% | 23.0% | 25.7% |
Evaluation results on the MT-Bench benchmark (you can find the evaluation outputs on the official GitHub repo):
| Original | + ExPO | |
|---|---|---|
HuggingFaceH4/zephyr-7b-alpha | 6.85 | 6.87 |
HuggingFaceH4/zephyr-7b-beta | 7.02 | 7.06 |
berkeley-nest/Starling-LM-7B-alpha | 7.82 | 7.91 |
Nexusflow/Starling-LM-7B-beta | 8.10 | 8.18 |
snorkelai/Snorkel-Mistral-PairRM | 7.63 | 7.69 |
RLHFlow/LLaMA3-iterative-DPO-final | 8.08 | 8.45 |
internlm/internlm2-chat-1.8b | 5.17 | 5.26 |
internlm/internlm2-chat-7b | 7.72 | 7.80 |
internlm/internlm2-chat-20b | 8.13 | 8.26 |
allenai/tulu-2-dpo-7b | 6.35 | 6.38 |
allenai/tulu-2-dpo-13b | 7.00 | 7.26 |
allenai/tulu-2-dpo-70b | 7.79 | 8.03 |
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- License
- llama3
- Languages
- en
- Featherless Ai
- live
- Created
- May 26, 2024
- Updated
- Jun 1, 2024