70B-L3.3-Cirrus-x1
52
35
70.0B
llama
by
Sao10K
Language Model
OTHER
70B params
New
52 downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
157GB+ RAM
Mobile
Laptop
Server
Quick Summary
This model is based on the transformers library and utilizes the Llama 3.
Device Compatibility
Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
66GB+ RAM
Code Examples
text
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.text
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.text
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.text
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.text
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.text
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.text
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.text
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.Deploy This Model
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