rllm
RLLM enables reinforcement learning for large language models, allowing founders to fine-tune models for specific tasks and improve their performance
- •When you need to adapt a pre-trained language model to a custom task or dataset
- •When you want to improve the performance of a language model on a specific task or metric
- •When you need to integrate reinforcement learning with other machine learning workflows
python rllm/train.py --model-name t5-base --task-name sentiment-analysis --num-epochs 5 --batch-size 16
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/rllm && curl -fsSL https://workflowstacks.com/api/skills/rllm/claude-skill -o ~/.claude/skills/rllm/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Rllm is a very large Python project (~82k lines across 453 code files, plus 121 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, Apache-2.0 license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2pyproject.tomlDependencies and the commands it exposes
- 3rllm/__init__.pyInside rllm/ — the main logic begins here
- 4examples/agentcore_math/prepare_gsm8k_data.pyA worked example — copy this to get going
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/rllm && curl -fsSL https://workflowstacks.com/api/skills/rllm/claude-skill -o ~/.claude/skills/rllm/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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