OrpoLlama-3-8B-GGUF

• This is quantized version of mlabonne/OrpoLlama-3-8B created using llama.cpp

Model Description

This is an ORPO fine-tune of meta-llama/Meta-Llama-3-8B on 1k samples of mlabonne/orpo-dpo-mix-40k created for this article.

It's a successful fine-tune that follows the ChatML template!

🔎 Application

This model uses a context window of 8k. It was trained with the ChatML template.

🏆 Evaluation

Nous

OrpoLlama-4-8B outperforms Llama-3-8B-Instruct on the GPT4All and TruthfulQA datasets.

Evaluation performed using LLM AutoEval, see the entire leaderboard here.

Model	Average	AGIEval	GPT4All	TruthfulQA	Bigbench
meta-llama/Meta-Llama-3-8B-Instruct 📄	51.34	41.22	69.86	51.65	42.64
mlabonne/OrpoLlama-3-8B 📄	48.63	34.17	70.59	52.39	37.36
mlabonne/OrpoLlama-3-8B-1k 📄	46.76	31.56	70.19	48.11	37.17
meta-llama/Meta-Llama-3-8B 📄	45.42	31.1	69.95	43.91	36.7

mlabonne/OrpoLlama-3-8B-1k corresponds to a version of this model trained on 1K samples (you can see the parameters in this article).

Open LLM Leaderboard

TBD.

📈 Training curves

You can find the experiment on W&B at this address.