GPU rental marketplace with interruptible and on-demand instances. Prices move by host. Confirm the live offer before you rent.

Free open-source desktop app to run and train AI models 100% locally, with Claude Code and Codex agent integration, media generation, and private web search.

Jeff is an open-source family of 0.8B and 2B decision models that return a calibrated probability per option in about 22 ms on a single GPU.

Bespoke Labs' open-weight 9B model and training recipe that turn Jev-style decisions into single-token choices with probabilities, runnable locally.

K2-Horizon-7B is an open-weight IFM language model with a 512K context window, tool calling, and released training checkpoints.

Swift-Qwen3.8-27B is UkisAI's reasoning-efficient Qwen3.8-27B finetune that cuts thinking tokens about 58% with under 1% score loss.

Hugging Face's LLM trainer skill fine-tunes models with TRL or Unsloth on Hugging Face Jobs GPUs: SFT, DPO, GRPO, reward models and GGUF export.