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