Uploaded model
- Compute sponsored by: Nvidia and Arrow ECS Denmark through Danish Data Science Community
- Developed by: ThatsGroes
- License: apache-2.0
- Finetuned from model : meta-llama/Llama-3.1-70B-Instruct
LoRA adapter on Llama-3.1-70b loaded in 4-bit. Trained for 1 epoch with rank=lora_alpha=8
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
We ended up using 62.52 GB GPU memory (79.00%), of which 23.83 GB (30.12%) was used for LoRa.
[codecarbon INFO @ 11:07:59] Energy consumed for RAM : 2.574882 kWh. RAM Power : 188.78840446472168 W [codecarbon INFO @ 11:07:59] Energy consumed for all GPUs : 4.045188 kWh. Total GPU Power : 270.22211938762564 W [codecarbon INFO @ 11:07:59] Energy consumed for all CPUs : 0.579916 kWh. Total CPU Power : 42.5 W [codecarbon INFO @ 11:07:59] 7.199986 kWh of electricity used since the beginning.
- Downloads last month
- 30
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.