FinetuneFast
Finetune your ML model in days - not weeks!
FinetuneFast launched on September 27, 2024 with 36 votes, #648 of 5,281 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 2 years on.
What it does
ML is difficult, so is finetuning. But what if you could get your text-to-image model, or your LLM finetuned in no time? FinetuneFast is the ML model boilerplate to finetune and ship AI models and SaaS in production.
Finetune your ML models in days, not weeks. The boilerplate to launch your AI models fast. FLUX.1-schnell, Mistral7B, GPT4o-mini, Pixtral and even RAG applications.
The ultimate ML boilerplate for text-to-image, LLMs, and more. Build your first AI app and start earning $ online fast. Configuring environments, installing dependencies, and setting up training scripts can be time-consuming. Cleaning, formatting, and organizing data for model training is a crucial but often lengthy process. Integrating with various APIs for data sources or model deployment can be complex and time-consuming. Setting up proper evaluation metrics and procedures is essential but can be tricky to get right. Deploying models to production environments often involves many steps and potential pitfalls. As your models grow, scaling infrastructure to handle increased load can become…from finetunefast.com
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FinetuneDB – AI fine-tuning platform to create custom LLMs2024 · finetunedb.com · ▲152Hey HN! We’re building FinetuneDB (https://finetunedb.com/), an LLM fine-tuning platform. It enables teams to easily create and manage high-quality datasets, and streamlines the entire workflow from fine-tuning to serving and evaluating models with domain experts. You can check out our docs here: (https://docs.finetunedb.com/) FinetuneDB exists because creating and managing high-quality datasets is a real bottleneck when fine-tuning LLMs. The quality of your data directly impacts the performance of your fine-tuned models, and existing tools didn’t offer an easy…
finetune LLMs via the Finetuning Hub2023 · github.com · ▲80Hi HN community, I have been working on benchmarking publicly available LLMs these past couple of weeks. More precisely, I am interested on the finetuning piece since a lot of businesses are starting to entertain the idea of self-hosting LLMs trained on their proprietary data rather than relying on third party APIs. To this point, I am tracking the following 4 pillars of evaluation that businesses are typically look into: - Performance - Time to train an LLM - Cost to train an LLM - Inference (throughput / latency / cost per token) For each LLM, my aim is to benchmark them for…
Finetune LLaMA-7B on commodity GPUs using your own text2023 · github.com · ▲449I'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!
FineTuner2025 · nowhiteboards.io · ▲164NEW88 là nền tảng giải trí trực tuyến uy tín hàng đầu Châu Á với đa dạng sản phẩm, ưu đãi khủng và trải nghiệm an toàn bảo mật trên mọi thiết bị.
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