Hi everyone, I’d like to share something that I’ve been working on for the past few days: https://huggingface.co/nsfwthrowitaway69/Venus-120b-v1.0
This model is the result of interleaving layers from three different models: Euryale-1.3-L2-70B, Nous-Hermes-Llama2-70b, and SynthIA-70B-v1.5, resulting in a model that it larger than any of the three used for the merge. I have branches on the repo for exl2 quants at 3.0 and 4.85 bpw, which will allow the model to run in 48GB or 80GB of vram, respectively.
I love using LLMs for RPs and ERPs and so my goal was to create something similar to Goliath, which is honestly the best roleplay model I’ve ever used. I’ve done some initial testing with it and so far the results seem encouraging. I’d love to get some feedback on this from the community! Going forward, my plan is to do more experiments with merging models together, possibly even going even larger than 120b parameters to see where the gains stop.
I will set this to run overnight on Hellaswag 0-shot like I did here on Goliath when it was new: https://old.reddit.com/r/LocalLLaMA/comments/17rsmox/goliath120b_quants_and_future_plans/k8mjanh/
Thanks for the model! I started investigating some approaches to combine models and see if it can be better than its individual parts. Just today I finished code to use a genetic algorithm to pick out parts and frankenstein 7B models together (trying to prove that there is merit to this approach using smalelr models…but we’ll see).
I’ll report back on the Hellaswag results on this model.
Thanks! I’m eager to see the results :)