Best AI tools for distillation
7 tools in the Fine-tuning category, filtered to distillation.
OF
OpenAI Fine-tuning
Fine-tuning · GPT-4o-mini / GPT-3.5
8.4
Fine-tune GPT-4o-mini and friends on your own data.
Paid· Basic: $10 · Pro: $25 · Enterprise: Contact salesstyleformat
OP
OpenPipe
Fine-tuning · Llama, Mistral, Qwen and other open-weight base models
8.2
Fine-tuning and reinforcement learning platform for turning expensive prompts into cheap, fast, task-specific models.
Freemium· Free tier available; usage-based pricing for training and hosted inference; enterprise plans on requestllm-cost-reductionfine-tuning
EI
Edge Impulse
Fine-tuning · Multi-model (TF Lite Micro, custom DSP blocks)
8.0
End-to-end platform for training and deploying ML models on microcontrollers, sensors, and other edge hardware.
Freemium· Developer: $0edge-aitinyml
AN
Anyscale
Fine-tuning · Infrastructure (any model)
7.9
Ray-powered platform for training, serving, and scaling LLMs.
Paid· Enterprise / contact salesdistributed trainingRay
FE
FedML
Fine-tuning · Bring-your-own (PyTorch, Hugging Face)
7.3
Distributed training, fine-tuning, and serving platform with federated learning roots.
Freemium· Open-source library free; managed GPU usage pay-as-you-gofine-tuningdistributed-training
ON
ONNX
Fine-tuning
7.0
Open standard for representing and exchanging machine learning models across frameworks and runtimes.
Free· Free and open source (Apache-2.0); Linux Foundation AI projectmodel-interchangeedge-deployment
CA
Colossal-AI
Fine-tuning · Framework-agnostic; used with LLaMA, GPT, Stable Diffusion, ViT, and other PyTorch-based open-weight models
Making large AI models cheaper, faster, and more accessible through distributed training
Free· Open-source (Apache 2.0). Enterprise support, consulting, and managed training services available from HPC-AI Technology on request.LLM pretraining across multi-node GPU clustersFull-parameter and LoRA fine-tuning of open-weight LLMs