Finetune Llama-3 2x faster in a Colab notebook
In plain words
Finetune Llama-3 is a tool that allows users to customize the Llama-3 language model twice as fast using Google Colab, a free cloud-based notebook environment. It is designed for developers and researchers who want to adapt Llama-3 for specific tasks without requiring expensive local hardware. The tool streamlines the finetuning process within Colab's infrastructure, making model customization more accessible and efficient.
written from the facts on this page · September 2026
Does the same job
all alternatives →- FLFinetune LLaMA-7B on commodity GPUs using your own text2023 · github.com · ▲449
I've been playing around with https://github.com/zphang/minimal-llama/ and https://github.com/tloen/alpaca-lora/blob/main/finetune.py, and wanted to create a simple UI where you can just paste text, tweak the parameters, and finetune the model quickly using a modern GPU. To prepare the data, simply separate your text with two blank lines. There's an inference tab, so you can test how the tuned model behaves. This is my first foray into the world of LLM finetuning, Python, Torch, Transformers, LoRA, PEFT, and Gradio. Enjoy!
- 8F80% faster, 50% less memory, 0% loss of accuracy Llama finetuning2023 · github.com · ▲385
Hi HN! I'm just sharing a project I've been working on during the LLM Efficiency Challenge - you can now finetune Llama with QLoRA 5x faster than Huggingface's original implementation on your own local GPU. Some highlights: 1. Manual autograd engine - hand derived backprop steps. 2. QLoRA / LoRA 80% faster, 50% less memory. 3. All kernels written in OpenAI's Triton language. 4. 0% loss in accuracy - no approximation methods - all exact. 5. No change of hardware necessary. Supports NVIDIA GPUs since 2018+. CUDA 7.5+. 6. Flash Attention support via Xformers. 7. Supports 4bit and 16bit…
- LDLlama-dl – high-speed download of LLaMA, Facebook's 65B GPT model2023 · github.com · ▲343
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