Finetune Llama 3.1, Gemma 2, Mistral 2 5x faster with 70% less memory via Unsloth! We have a Qwen 2.5 (all model sizes) free Google Colab Tesla T4 notebook. Also a Qwen 2.5 conversational style notebook. ✨ Finetune for Free All notebooks are beginner friendly ! Add your dataset, click "Run All", and you'll get a 2x faster finetuned model which can be exported to GGUF, vLLM or uploaded to Hugging Face. Unsloth supports Free Notebooks Performance Memory use Llama 3.1 8b ▶️ Start on Colab 2.4x faster 58% less Phi 3.5 (mini) ▶️ Start on Colab 2x faster 50% less Gemma 2 9b ▶️ Start on Colab 2.4x faster 58% less Mistral 7b ▶️ Start on Colab 2.2x faster 62% less TinyLlama ▶️ Start on Colab 3.9x faster 74% less DPO Zephyr ▶️ Start on Colab 1.9x faster 19% less This conversational notebook is useful for ShareGPT ChatML / Vicuna templates. This text completion notebook is for raw text. This DPO notebook replicates Zephyr. \ Kaggle has 2x T4s, but we use 1. Due to overhead, 1x T4 is 5x faster. Qwen2.5 0.5B Instruct Introduction Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction tuned language models ranging from…
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