Captures your production OpenAI / Anthropic calls, builds a dataset, fine-tunes a small open-weights model on your traffic, then serves the swap behind your existing SDK. The pitch: 10x cost reduction at parity.
Fine-tuning · OpenPipe
OpenPipe
Replace frontier-model spend with a fine-tuned small model.
Model support
Multi-model
- Llama
- Mistral
- Qwen
Where it runs
- API
Tags
- #fine-tuning
- #cost-reduction
- #drop-in
- #open-weights
Related in Fine-tuning
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Fine-tuning + inference for open-weights models. Broad coverage.
Hosted inference and fine-tuning across hundreds of open-weights models (Llama, Mistral, DeepSeek, Qwen, etc.). Strong pricing for inference-at-scale; LoRA + full fine-tuning supported.
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View Fireworks AI details Fine-tuningFREEMIUMFireworks AI
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Fast inference + fine-tuning. Production deployments at scale.
Optimized inference platform for open-weights models with strong latency numbers and serverless + dedicated deployment options. Fine-tuning supported; vision and audio models alongside text.
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Serverless GPUs. Run training, inference, batch jobs from Python.
Define cloud workloads in Python, deploy with one command — GPU access on demand, fast cold starts, fair-share pricing. The default 'I need to fine-tune a model from a Jupyter cell' platform.
- gpu
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