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Unsloth alternatives

Depot OSS fine-tune default. Hosted LoRA → Predibase/Fireworks/Together; dead OpenPipe → do not resurrect…

Overall 8.52 (curated_estimate, high) · score asOf 2026-09-14 · last reviewed 2026-09-14. This is not an Elo and not a live price board. Provider · JSON

Jobs: finetune, lora-serving-distillation

ProviderWhy listedOverallΔ vs subjectasOf
Together AI
Best catalog breadth for OSS models. Watch minimums and lifetime spend gates before you design around a gated…
same_jtbd_pick, same_jtbd_runner · finetune, lora-serving-distillation8.2high-0.322026-09-14
Predibase
Alive. Prefer when you serve dozens of LoRA adapters on shared GPUs. Together/Fireworks remain simpler…
same_jtbd_runner, same_jtbd_pick · finetune, lora-serving-distillation7.89medium-0.632026-09-14
Fireworks AI
Top pick for production open-model serving with real DX. Prefer over random GPU DIY when you want tokens not…
same_jtbd_runner · finetune, lora-serving-distillation8.35high-0.172026-09-14
Lightning AI
Use when the team already lives in Lightning/PyTorch notebooks. Together/Unsloth remain Depot finetune…
same_jtbd_runner · finetune, lora-serving-distillation7.93high-0.592026-09-14
Modal
Depot darling for Python agent backends and bursty GPU jobs. If you think in functions not VMs, start here.
same_jtbd_runner · finetune8.44high-0.082026-10-19
Hugging Face Inference
Perfect for Hub-native workflows and custom models. For hard production latency, graduate to…
same_jtbd_runner · finetune7.95high-0.572026-09-14

Prices are not ranked on this page. For a job, use the sourced quote (separate input and output rows, Depot Pick unchanged): finetune, lora-serving-distillation.

Alternatives are other catalog providers that share a JTBD as pick or runner-up. If fewer than three exist, same-category active providers fill the list and are labeled same_category. Overall deltas are catalog scores. kind=curated_estimate is not a lab measurement. Pricing rows are sourced or explicitly null. Do not parse pricingNotes. A single normalized USD figure is set only for a provider with exactly one token row.