Unsloth
Depot OSS fine-tune default. Hosted LoRA → Predibase/Fireworks/Together; dead OpenPipe → do not resurrect…
Depot OSS fine-tune default. Hosted LoRA → Predibase/Fireworks/Together; dead OpenPipe → do not resurrect. Run Unsloth on Modal/RunPod/HF Jobs. Strengths: Best-in-class OSS LoRA speed/VRAM efficiency; Huge community defaults; Works on rented GPUs.
Lock-in risk: higher = more lock-in (worse). Overall already inverts this dimension.
Depot OSS fine-tune default. Hosted LoRA → Predibase/Fireworks/Together; dead OpenPipe → do not resurrect. Run Unsloth on Modal/RunPod/HF Jobs.
Strengths
- · Best-in-class OSS LoRA speed/VRAM efficiency
- · Huge community defaults
- · Works on rented GPUs
Weaknesses
- · Not a hosted fine-tune SaaS
- · Pro pricing opaque
- · You still buy GPUs elsewhere
Pricing notes
As of 2026-09-14 (unsloth.ai/pricing): Free OSS local training (4/16-bit LoRA, Llama/Mistral/Gemma). Pro/Enterprise = contact-sales speed/VRAM multi-GPU claims (2.5×–30× marketing). No Unsloth-hosted GPU rate card — pair with HF Jobs / RunPod / Modal for cloud GPUs. HF blog documents free/cheap Unsloth+Hugging Face Jobs paths (T4-class ~$0.40/hr directional).
Sourced pricing
Contract status unavailable · no_sourced_price. Single normalized $/1M: null. Machine list: /api/pricing?provider=unsloth
No sourced SKU row. Notes above stay prose.
Community signals
Insight claims only — never mutate official scores. Outside reports: 0; seed examples: 0.
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