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

70B-L3.3-Cirrus-x1

- Same data composition as Freya, applied differently, trained longer too.
- Merging with its checkpoints was also involved.
- Has a nice style, with occasional issues that can be easily fixed.
- 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

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