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--- |
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base_model: meta-llama/Llama-3.1-70B-Instruct |
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tags: |
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- text-generation-inference |
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- transformers |
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- unsloth |
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- llama |
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- trl |
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- sft |
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license: apache-2.0 |
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language: |
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- en |
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datasets: |
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- kobprof/skolegpt-instruct |
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--- |
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# Uploaded model |
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- **Compute sponsored by:** Nvidia and Arrow ECS Denmark through Danish Data Science Community |
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- **Developed by:** ThatsGroes |
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- **License:** apache-2.0 |
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- **Finetuned from model :** meta-llama/Llama-3.1-70B-Instruct |
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LoRA adapter on Llama-3.1-70b loaded in 4-bit. Trained for 1 epoch with rank=lora_alpha=8 |
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. |
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We ended up using 62.52 GB GPU memory (79.00%), of which 23.83 GB (30.12%) was used for LoRa. |
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[codecarbon INFO @ 11:07:59] Energy consumed for RAM : 2.574882 kWh. RAM Power : 188.78840446472168 W |
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[codecarbon INFO @ 11:07:59] Energy consumed for all GPUs : 4.045188 kWh. Total GPU Power : 270.22211938762564 W |
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[codecarbon INFO @ 11:07:59] Energy consumed for all CPUs : 0.579916 kWh. Total CPU Power : 42.5 W |
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[codecarbon INFO @ 11:07:59] 7.199986 kWh of electricity used since the beginning. |
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) |
