on-policy-distillation
Train models using token-level KL distillation with teacher models. Use when you want true on-policy distillation (Thinking Machines approach), token-level KL penalty, or training with Qwen/Llama as teacher. Tr...
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Train models using token-level KL distillation with teacher models. Use when you want true on-policy distillation (Thinking Machines approach), token-level KL penalty, or training with Qwen/Llama as teacher. Tr...
Configure ReinforceNow training runs with config.yml and train.jsonl. Also covers converting HuggingFace datasets to ReinforceNow format. Triggers on "config.yml", "train.jsonl", "training config", "batch_size"...
Format train.jsonl training data for ReinforceNow. Use when creating train.jsonl, formatting training entries, using tools/rewards per entry, or setting up sandbox/docker. Triggers on "train.jsonl", "training d...
Use the ReinforceNow CLI for RLHF training. Use when running rnow commands, initializing projects, submitting training runs, testing rollouts, or downloading models. Triggers on "rnow", "rnow init", "rnow run",...
Generate training data from teacher models for off-policy distillation. Use when converting prompts to SFT datasets using larger models, generating teacher completions with tools, or preparing data for knowledg...
Write tool functions for ReinforceNow agent training. Use when creating @tool decorated functions, writing tools.py, or sandbox tools. Triggers on "@tool", "tools.py", "tool function", "function calling", "agen...
Write reward functions for ReinforceNow RL training. Use when creating @reward decorated functions, writing rewards.py, using precondition rewards, sandbox rewards, llm_judge, or math-verify. Triggers on "rewar...
Configure ReinforceNow training runs with config.yml and train.jsonl. Use when setting up training configuration, choosing models, configuring RL algorithms, rollout settings, or training data format. Triggers...
Convert HuggingFace datasets to ReinforceNow format. Use when creating train.jsonl from HuggingFace datasets, formatting data for SFT or RL training, or writing reward functions for math datasets. Triggers on "...
Write reward functions for ReinforceNow RL training. Use when creating @reward decorated functions, writing rewards.py, using precondition rewards, sandbox rewards, or llm_judge. Triggers on "reward function",...
Write tool functions for ReinforceNow agent training. Use when creating @tool decorated functions, writing tools.py, defining function calling tools, or sandbox tools. Triggers on "@tool", "tools.py", "tool fun...
Use the ReinforceNow CLI for RLHF training. Use when running rnow commands, initializing projects, submitting training runs, testing rollouts, or downloading models. Triggers on "rnow", "rnow init", "rnow run",...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.