Evaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, reporting academic results, or tracking training progress. Industry standard used by EleutherAI, HuggingFace, and major labs. Supports HuggingFace, vLLM, APIs.
Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.
Guarantee valid JSON/XML/code structure during generation, use Pydantic models for type-safe outputs, support local models (Transformers, vLLM), and maximize inference speed with Outlines - dottxt.ai's structured generation library.
Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's official library integrated with transformers ecosystem.
State-of-the-art text-to-image generation with Stable Diffusion models via HuggingFace Diffusers. Use when generating images from text prompts, performing image-to-image translation, inpainting, or building custom diffusion pipelines.
Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need RLHF, align model with preferences, or train from human feedback. Works with HuggingFace Transformers.
Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory. Supports OpenAI-compatible endpoints, quantization (GPTQ/AWQ/FP8), and tensor parallelism.
OpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six model sizes from tiny (39M params) to large (1550M params). Use for speech-to-text, podcast transcription, or multilingual audio processing. Best for robust, multilingual…
Orchestrate multiple AI agents on the same host. Two modes: dispatch (one-shot tasks routed to specialist agents via CLI runners) and peer agent management (persistent processes with file-based inbox/outbox communication). Includes zombie hygiene, process monitoring, and parallel dispatch patterns. TRIGGER when: user…
Create, deploy, and manage long-running resilient background service scripts that persist across agent and system restarts. Covers PID file management, logging, systemd deployment, and verification. TRIGGER when: user asks to "run a script in background", "keep running after restart", "create a daemon", "background…
Execute implementation plans by dispatching fresh subagents per task with two-stage review (spec compliance then code quality). No agent verifies its own work. Fresh context per task prevents state pollution. TRIGGER when: you have an implementation plan ready and want to execute it task-by-task with systematic…
Manage system-level cron jobs for the default user using the crontab command. Use for adding, listing, and removing scheduled tasks that are managed by the OS, not the agent's internal cron tool.
Systematically audit a Linux VPS — find all listening services, check firewall rules (UFW + iptables), test external reachability, inspect logs for blocked probes. Answer the question: "what's exposed to the internet?".
★not rated 2 2mo agoA50 tokens
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: