OpenPipe/OpenPipe

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2830 stars · 178 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

OpenPipe is an open-source fine-tuning and model-hosting platform that turns expensive LLM prompts into cheaper fine-tuned models. It offers OpenAI-compatible SDKs and endpoints, request logging, dataset management, and model evaluation.

Use cases

• reduce llm api costs by fine-tuning a smaller model
• fine-tune mistral or llama on my own prompt data
• log and query openai chat completion requests
• compare fine-tuned model output against gpt-3.5-turbo
• swap gpt-4 for a fine-tuned model with one line of code
• import openai jsonl datasets for training

When to choose

• you want to cut inference costs by distilling a large model into a fine-tuned smaller one
• you need OpenAI-compatible APIs so switching models requires only a model-name change
• you want request logging, dataset pruning, and model evaluation in one platform

When to avoid

• you need actively developed open-source code - development is paused pending an open-core restructure
• you only need prompt engineering or orchestration without fine-tuning
• you require fully self-hosted training on your own infrastructure without platform dependencies

Facets

service · maturity maintenance

llm-training llm-inference prompt-engineering sdk large-language-models machine-learning developer-tools artificial-intelligence self-hosted python llmops fine-tuning openai-compatible model-hosting cost-optimization web-server nodejs docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="OpenPipe/OpenPipe")