NeuroBait: I fine-tuned a model to spark dopamine for ADHD brain
Hugging Face Blog5 days agoNew ToolNeuroBait is a Hugging Face community project built to help with ADHD task-initiation freeze rather than diagnosis or to-do planning. It fine-tunes google/gemma-3-12b-it with LoRA to produce short, warm, context-aware nudges. The project uses Unsloth and Modal for training, then deploys on a Hugging Face Space with Gradio, transformers, peft, and a runtime LoRA adapter.
Unlocking VLM Potential on Satellite Imagery Through Fine-Tuning
Mistral AI News6 days agoTutorialMistral AI demonstrates how LoRA fine-tuning adapts Pixtral-12B to satellite imagery, a specialized visual domain where prompting alone is unreliable. Using the Aerial Image Dataset, the post compares a prompt-based baseline against a fine-tuned model across 30 scene classes. Accuracy rose from 0.56 to 0.91, while invalid label hallucinations dropped from 5% to 0.1%.
使用 Diffusers 與 PEFT 實現 Flux 的快速 LoRA 推論★ 80
Hugging Face Blog326 days agoTutorialThis technical guide from Hugging Face takes an in-depth look at how to accelerate LoRA (Low-Rank Adaptation) inference for Flux.1, the powerful open-source…
在消費級硬體上微調 FLUX.1-dev：使用 QLoRA 技術指南★ 80
Hugging Face Blog360 days agoTutorialFLUX.1-dev is a state-of-the-art open-source text-to-image model with 12 billion parameters (12B), developed by Black Forest Labs. However, due to its enormous…
在 Hugging Face 上用 Replicate 運行超過 30,000 個 LoRA 模型★ 75
Replicate Blog395 days agoNew ToolThe AI-managed inference platform Replicate has announced a deep partnership with Hugging Face, the giant of the open-source AI community, officially bringing…
Replicate 大幅提升 FLUX 微調速度，並將優化技術開源★ 75
Replicate Blog565 days agoReleaseThe AI cloud hosting platform Replicate has announced a major fine-tuning speed optimization for FLUX.1, currently the most popular open-source image…
Llama 3.2 正式支援 Keras：跨框架輕鬆微調與部署 Meta 最新輕量級模型★ 75
Hugging Face Blog601 days agoReleaseMeta's Llama 3.2 release includes lightweight 1B and 3B text models designed specifically for edge computing and mobile devices. These models have now been…
Replicate Intelligence #11：微調 FLUX.1、生成式影像遊戲與元宇宙的新願景★ 75
Replicate Blog667 days agoReleaseThis edition of Replicate Intelligence #11 compiles major recent technical breakthroughs and application trends in the generative AI space, focusing primarily…
TGI Multi-LoRA：部署一次即可同時提供 30 個微調模型服務★ 80
Hugging Face Blog696 days agoReleaseThe Hugging Face official blog has introduced a major update to its open-source text generation inference engine, Text Generation Inference (TGI): the…
微調 Microsoft Florence-2：微軟頂尖視覺語言模型實戰指南★ 80
Hugging Face Blog720 days agoTutorialMicrosoft open-sourced Florence-2 in June 2024 — a vision-language model (VLM) based on a sequence-to-sequence architecture. Despite its compact size (the Base…
Diffusers 正式支援 Stable Diffusion 3：更強大的圖像生成與記憶體優化★ 80
Hugging Face Blog732 days agoReleaseHugging Face's official blog announced that its diffusers library now officially supports Stable Diffusion 3 (SD3), the latest release from Stability AI. SD3…
在 Hugging Face 中微調 Gemma 模型★ 80
Hugging Face Blog842 days agoTutorialAfter Google released the Gemma family of open-source models (including 2B and 7B parameter versions), Hugging Face promptly published this practical…
🤗 PEFT 迎來全新合併方法：輕鬆整合多個 LoRA 適配器★ 80
Hugging Face Blog846 days agoReleaseHugging Face's PEFT (Parameter-Efficient Fine-Tuning) library has recently received a major update, officially adding support for several advanced adapter…
使用 Unsloth 與 🤗 TRL 讓 LLM 微調速度提升 2 倍★ 80
Hugging Face Blog886 days agoReleaseHugging Face's official blog announced a partnership with the Unsloth team to integrate Unsloth's efficient fine-tuning technology directly into Hugging Face's…
告別冷啟動：Hugging Face 如何將 LoRA 推論速度提升 300%★ 85
Hugging Face Blog922 days agoReleaseIn real-world generative AI applications, fine-tuning for specific tasks or clients is a common requirement. However, deploying a full base model for every…
比較大語言模型性能：深入探討使用 LoRA 微調 RoBERTa、Llama 2 與 Mistral 進行災難推特分析★ 75
Hugging Face Blog950 days agoTutorialThis Hugging Face blog post takes an in-depth look at how to use LoRA (Low-Rank Adaptation) to fine-tune three models of different architectures and scales for…
Replicate 大幅優化微調模型冷啟動時間，現在只需不到一秒即可完成載入★ 75
Replicate Blog1,012 days agoReleaseAI cloud hosting platform Replicate has announced a major technical breakthrough for fine-tuned models: the "cold boot" time for fine-tuned models has been…
StackLLaMA：使用 RLHF 微調 LLaMA 模型的實戰指南★ 80
Hugging Face Blog1,166 days agoTutorialThis classic blog post from Hugging Face provides an extremely valuable hands-on guide for the open-source community, detailing how to fine-tune the LLaMA…
如何使用 Alpaca-LoRA 微調出類似 ChatGPT 的專屬模型★ 72
Replicate Blog1,179 days agoTutorialAfter ChatGPT swept the globe in early 2023, the open-source community was desperately searching for self-controllable, low-cost alternatives. Meta's release…
在 24GB 消費級 GPU 上使用 RLHF 微調 20B 大型語言模型★ 85
Hugging Face Blog1,193 days agoReleaseThis technical blog post from Hugging Face introduces how to combine TRL (Transformer Reinforcement Learning) and PEFT (Parameter-Efficient Fine-Tuning)…
Hugging Face 推出 PEFT 庫：用更低的硬體成本高效微調大型語言模型★ 85
Hugging Face Blog1,220 days agoNew ToolAs the parameter scale of large language models (LLMs) continues to grow, full fine-tuning has become prohibitively expensive and impractical. To lower the…
使用 LoRA 進行高效 Stable Diffusion 微調：Hugging Face 官方指南★ 85
Hugging Face Blog1,235 days agoTutorialThis classic blog post from Hugging Face provides a detailed guide on how to use LoRA (Low-Rank Adaptation) technology to efficiently fine-tune Stable…