Open source alternatives to huggingface-llm-trainer
24 open source AI Skills apps to use instead, best rated first.
Top picks
- G
github-ops
Launchgithub-ops is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It manages a GitHub repository with a focus on community health, CI reliability and the experience of contributors. It covers triaging issues by classify
Open source
- O
opensource-pipeline
Launchopensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st
Open source
- A
andrej-karpathy-skills
Launchandrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis
Open source
- M
microsoft/markitdown
Launchmarkitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve
Open source
- O
od-contribute
Launchod-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the
Open source
- G
github-deep-research
Launchgithub-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive
Open source
More AI Skills apps
modelcontextprotocol/server-memory
Knowledge graph-based persistent memory for maintaining context
netdata/netdata#Netdata
Discovery, exploration, reporting and root cause analysis over Netdata metrics
Learn Claude Code
by shareAI-lab - A really interesting analysis of how coding agents like Claude
About huggingface-llm-trainer
huggingface-llm-trainer
Train or fine-tune language and vision models using TRL
huggingface-llm-trainer is an agent skill for training or fine-tuning language and vision models with TRL, the Transformer Reinforcement Learning library, on Hugging Face Jobs. Training runs on managed cloud GPUs, so no local GPU setup is needed, and finished models are saved to the Hugging Face Hub automatically. The skill covers the main TRL methods: supervised fine-tuning for standard instruction tuning, Direct Preference Optimization for alignment from preference data, Group Relative Policy Optimization for online reinforcement learning, and training reward models for RLHF. It also mentions Unsloth as a training option. The skill points the agent to the TRL documentation through the Hugging Face documentation tools for each method, so it can check current options before writing a training run. It is part of Hugging Face's skills repository and is added to a compatible agent with the skills command. Users who want a model trained on their own hardware should check the separate local tooling instead.
- Price
- Free
- Made by
- huggingface
- Category
- AI Skills
- Website
- github.com/huggingface/skills/huggingface-llm-trainer