Documentation for Tune, covering setup, features, and practical usage.
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Instruct-tune LLaMA on consumer hardware.
MLOps in a notebook - uncover insights, surface problems, monitor, and fine tune your models.
7B Large Language Model fine-tune by 34B Chinese Character Corpus, based on LLaMA and Alpaca.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
Host inference APIs, bulk inference and fine tune text, vision, audio and multi-modal models.
Using Low-rank adaptation to quickly fine-tune diffusion models.
Fine-tuned on AMD MI300X for the AMD Developer Hackathon 2026 (Fine-Tuning Track).
Chinese LLM, Based on LLaMA and fine tune by Stanford Alpaca, Alpaca LoRA, Japanese-Alpaca-LoRA.
Open platform for operating large language models (LLMs) in production. Fine-tune, serve, deploy, and monitor any LLMs with ease.
If you want to find out more about how these models were trained and even fine-tune them yourself, check-out the Parler-TTS repository on GitHub.
Archive creates or edits images with generative AI and text-based controls.
DataTalks.Club. A weekly newsletter about data-related things..
. A weekly newsletter about data-related things. Archive.
Running large language models on a single GPU for throughput-oriented scenarios. (Archived).
Serverless LLM apps on Production with Jina AI Cloud (Archived).
. A newsletter about data science. Archive.
Real-time inference for Stable Diffusion - 0.88s latency. Covers AITemplate, nvFuser, TensorRT, FlashAttention. (Archived).