metadata
license: mit
| Task | Version | Metric | Value | Stderr | |
|---|---|---|---|---|---|
| arc_challenge | 0 | acc | 0.6527 | ± | 0.0139 |
| acc_norm | 0.6869 | ± | 0.0136 |
A passthrough merge of OpenHermes-2.5-neural-chat-7b-v3-1 and Bruins-V2. To be updated.
Template: ChatML
My settings:
Temperature: 0.7-0.8
Min_p: 0.12
Top_K: 0
Repetition Penalty: 1.16
Mirostat Tau: 2.5-3
Mirostat Eta: 0.12
Personal Thoughts:
- The model sometimes throws wrong tags, you can add those to "Custom stopping strings" in Oobabooga.
- Output with Mirostat consistently felt smarter than a set Top_K rate.
Note: The model is hallucinating hard in chat mode for me in some instances, like writing adblocker messages. Kind of funny.
I am not sure which dataset involved was poisoned.