--- language: - en license: apache-2.0 tags: - text-generation-inference - transformers - unsloth - llama - trl - sft base_model: unsloth/llama-3-8b-bnb-4bit datasets: - Open-Orca/OpenOrca --- # Open Orca Llama 3 8B - **Fine Tuned using dataset:** https://huggingface.co/datasets/Open-Orca/OpenOrca - **Step Count:** 1000 - **Batch Size:** 2 - **Gradient Accumulation Steps:** 4 - **Context Size:** 8192 - **Num examples:** 4,233,923 - **Trainable Parameters:** 41,943,040 - **Learning Rate:** 0.0625 - **Training Loss:** 1.090800 - **Fined Tuned using:** Google Colab Pro (Nvidia L4 runtime) - **Developed by:** akumaburn - **License:** apache-2.0 - **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit - **Prompt Format:** Alpaca (https://libertai.io/apis/text-generation/prompting.html) Some GGUF quantizations are included as well. mistral-7b-openorca.Q8_0.gguf: - **MMLU-Test:** Final result: **41.5836 +/- 0.4174** - **Arc-Easy:** Final result: 72.6316 +/- 1.8691 - **Truthful QA:** Final result: **32.0685 +/- 1.6339** - **Arc-Challenge:** Final result: **48.8294 +/- 2.8956** llama-3-8b-bnb-4bit.Q8_0.gguf: - **MMLU-Test:** Final result: 40.4074 +/- 0.4156 - **Arc-Easy:** Final result: 73.8596 +/- 1.8421 - **Truthful QA:** Final result: 26.6830 +/- 1.5484 - **Arc-Challenge:** Final result: 46.8227 +/- 2.8906 **Open_Orca_Llama-3-8B-unsloth.Q8_0.gguf**: - **MMLU-Test:** Final result: 39.3818 +/- 0.4138 - **Arc-Easy:** Final result: 67.3684 +/- 1.9656 - **Truthful QA:** Final result: 29.0086 +/- 1.5886 - **Arc-Challenge:** Final result: 42.1405 +/- 2.8604 Meta-Llama-3-8B.Q8_0.gguf: - **MMLU-Test:** Final result: 40.8664 +/- 0.4163 - **Arc-Easy:** Final result: **74.3860 +/- 1.8299** - **Truthful QA:** Final result: 28.6414 +/- 1.5826 - **Arc-Challenge:** Final result: 47.1572 +/- 2.8917 Llama.cpp Options For Testing: --samplers "tfs;typical;temp" --draft 32 --ctx-size 8192 --temp 0.82 --tfs 0.8 --typical 1.1 --repeat-last-n 512 --batch-size 8192 --repeat-penalty 1.0 --n-gpu-layers 100 --threads 12 This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. [](https://github.com/unslothai/unsloth)