---
library_name: transformers
base_model:
- meta-llama/Llama-3.3-70B-Instruct
tags:
- generated_from_trainer
model-index:
- name: 70B-L3.3-Cirrus-x1
  results: []
license: llama3.3
---
### exl2 quant (measurement.json in main branch)
---
### check revisions for quants
---


![Venti](https://huggingface.co./Sao10K/70B-L3.3-Cirrus-x1/resolve/main/venti.png)

# 70B-L3.3-Cirrus-x1

\- Same data composition as Freya, applied differently, trained longer too.
<br>\- Merging with its checkpoints was also involved.
<br>\- Has a nice style, with occasional issues that can be easily fixed.
<br>\- A more stable version compared to previous runs.

My Model Settings | Feel free to use DRY or XTC or whatever meme samplers. I have zero experience with them, I can't help you there.
```
Prompt Format: Llama-3-Instruct
Temperature: 1.1
min_p: 0.05
```

```
Training time in total was ~22 Hours on a 8xH100 Node.
Then, ~3 Hours spent merging multiple epoch checkpoints through dare_ties and model experimentation on a 2xH200 Node.
```
*Compute spent is on my own budget and wallet, through Runpod or Vast.*

*Probably my last main release in a while unless things change, spent too much on this.*

https://sao10k.carrd.co/ for contact. Ideally on Discord or here on HF.

If you're interested in donations:
```
My Metamask Wallet: 0xb2f71C762990e1FC3353319fA63f2C65249d9379
```

---

![cloudy](https://huggingface.co./Sao10K/70B-L3.3-Cirrus-x1/resolve/main/cloudy.png)

<details><summary>Congrats! You win something special below, @Calidras</summary>

```
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣀⣀⡀⠤⠤⡤⠤⣀⣀⡀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⡠⢔⠲⠈⠉⠀⠀⠀⠀⡸⠀⠀⠈⣿⣿⣦⡀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡠⠂⡡⠄⠀⠀⠀⠀⠀⠈⠀⠀⢇⠀⠀⠀⣿⣿⣿⣷⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⡰⢁⠄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠸⠀⠀⠀⣿⣿⣿⣿⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠎⢀⣡⠴⠒⠈⠉⠉⢉⣩⣿⣶⣦⣄⡀⠀⡆⠀⠀⣿⣿⣿⣿⠀
⠀⠀⠀⠀⠀⠀⠀⣼⣴⠉⠀⢀⠖⠉⠉⠙⠿⣿⣿⣿⣿⣿⣿⣷⣼⡀⠀⣿⣿⣿⣿⠀
⠀⠀⠀⠀⠀⠀⠀⢻⣿⣄⣴⠏⠀⠀⠀⠀⠀⠙⣿⣿⣿⡿⠿⠛⠁⡇⠀⣿⣿⣿⣿⠀
⠀⠀⠀⠀⠀⠀⠀⠀⡹⠛⠁⠀⠀⠀⠀⠀⠀⠀⠈⠉⠀⠀⠀⠀⠀⡇⠀⣿⣿⣿⣿⠀
⠀⠀⠀⠀⠀⠀⢀⡔⠈⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⣿⣿⣿⣿⠀
⠀⠀⠀⠀⠀⡠⠊⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⣿⣿⣿⣿⠀
⠀⠀⢀⠔⠋⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡜⠀⠀⣿⣿⣿⣿⠀
⠀⠠⡃⢠⡤⠤⣀⣀⣀⡀⠀⠀⠀⢣⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠇⠀⠀⣿⣿⣿⣿⠀
⠀⠀⠑⢼⣧⣀⣴⣿⣿⣿⣿⣷⣦⣄⠇⠀⠀⠀⠀⠀⠀⠀⠀⢰⠀⠀⠀⣿⣿⣿⣿⡇
⠀⠀⠀⣼⢠⠀⠈⠍⠉⠛⠛⠛⠛⠛⠃⠀⠀⠀⠀⠀⠀⠀⢀⡇⢠⠀⠀⣿⣿⣿⣿⢇
⠀⠀⠀⡏⠈⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣸⣶⣤⣷⣶⣿⣿⣿⠏⠀
⠀⠀⢸⠇⢀⠀⣀⣀⣀⣀⣀⣀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢠⣿⣿⣿⣿⣿⡟⠉⠃⠀⠀
⠀⠀⢸⠀⡇⠮⣀⣀⣤⣤⣭⣽⣿⣄⠀⠀⠀⠀⠀⠀⢠⣿⣿⣿⣿⣿⣿⡇⠀⠀⠀⠀
⠀⠀⡇⠰⠐⠲⠾⠿⠿⠿⠿⠟⠛⠛⠋⠀⠀⠀⠀⢠⣿⣿⣿⣿⣿⣿⣿⣿⠀⠀⠀⠀
⠀⢸⢁⠇⡔⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣰⣿⣿⣿⣿⣿⣿⣿⣿⣿⣇⠀⠀⠀
⠀⠏⠸⠈⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⣼⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡇⠀⠀
⢸⠀⣇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⣴⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠇⠀⠀
⠀⠑⠢⠤⠀⠀⠀⠀⠀⠒⣄⣀⠠⠶⢿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠿⠋⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⡜⢠⠃⠀⠀⠀⠀⠻⣿⣿⣿⣿⣿⣿⣿⠿⠟⠋⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠰⠁⠈⠀⠀⠀⠀⣤⣶⣿⡿⠿⠿⠛⠉⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠉⠐⠒⠒⠂⠈⠉⠉⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
```

</details><br>