Recipes

Soup includes 30 ready-made configs for popular models. No need to write YAML from scratch.

List Recipes

soup recipes list

Shows all available recipes with model name, task, and description.

Search Recipes

# Search by model name
soup recipes search llama

# Search by task type
soup recipes search grpo

# Search by model size
soup recipes search 8b

Show Recipe

# Print full YAML to stdout
soup recipes show llama3-sft

Use a Recipe

# Copy recipe to soup.yaml
soup recipes use llama3-sft

# Custom output path
soup recipes use qwen3-dpo --output my-config.yaml

Available Recipes

Recipes cover the most popular models and tasks:

Each recipe includes optimal LoRA settings, learning rates, and batch sizes tuned for the specific model.

Customizing Recipes

Recipes are a starting point. After soup recipes use, edit the generated soup.yaml to:

• Point to your dataset (data.train)
• Adjust epochs, learning rate, or LoRA rank
• Add backend: unsloth for 2-5x speedup
• Enable evaluation with eval config section