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Llama-3.1-8B-Instruct-SkoleGPT-DaSlimOrca-4e
ThatsGroes/Llama-3.1-8B-Instruct-SkoleGPT-DaSlimOrca-4e
Llama-3.1-8B-Instruct-SkoleGPT-DaSlimOrca-4e is a text generation model from ThatsGroes. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
- Computed sponsored by: Arroc ECS Denmark and Nvidia through Danish Data Science Community - Developed by: ThatsGroes - License: apache-2.0 - Finetuned from model : AI-Sweden-Models/Llama-3-8B-instruct
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- llama
- Access
- Public
- Created
- Oct 31, 2024
- Updated
- Nov 4, 2024
- SHA
- f04048b0
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Model card
From the Hugging Face model README
Uploaded model
- Computed sponsored by: Arroc ECS Denmark and Nvidia through Danish Data Science Community
- Developed by: ThatsGroes
- License: apache-2.0
- Finetuned from model : AI-Sweden-Models/Llama-3-8B-instruct
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
{'train_runtime': 215438.6486, 'train_samples_per_second': 3.141, 'train_steps_per_second': 0.393, 'train_loss': 1.035243785800245, 'epoch': 4.0}
[codecarbon INFO @ 07:52:43] Energy consumed for RAM : 11.292402 kWh. RAM Power : 188.78840446472168 W [codecarbon INFO @ 07:52:43] Energy consumed for all GPUs : 17.520012 kWh. Total GPU Power : 245.77458591976836 W [codecarbon INFO @ 07:52:43] Energy consumed for all CPUs : 2.543341 kWh. Total CPU Power : 42.5 W [codecarbon INFO @ 07:52:43] 31.355754 kWh of electricity used since the beginning.
We ended up using 65.56 GB GPU memory (82.84%), of which 49.83 GB (62.97%) was used for LoRa.
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- License
- apache-2.0
- Languages
- en
- Created
- Oct 31, 2024
- Updated
- Nov 4, 2024