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Small Language Model LoRA Fine-Tuning: Train a downloadable SmolLM2-135M-Instruct LoRA adapter on 2..16 short prompt/completion examples.
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Small Language Model LoRA Fine-Tuning: Train a downloadable SmolLM2-135M-Instruct LoRA adapter on 2..16 short prompt/completion examples. One epoch, 128 tokens per example including template. Small pilot job; no quality guarantee. Local processing. Limits and retention: /ai-services.Overview
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UNRATED
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https://market.datapackvibe.com/x402/ai-small-model-finetune
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first 1 day ago · last 1 day ago
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Handshakescomputed 18 hr ago
0.400 from 2 free handshakes over 30 days · UNRATED ?
| Component | Weight | Measured | Lower bound ? | Adds | Short ? | Uncertain ? | |
|---|---|---|---|---|---|---|---|
| livenesscosts the most it answered at all |
0.60 | 1.00 | 0.000 | 0.000 | 0 | −0.600 | |
| latency p95 it answered as fast as its class |
0.20 | 1.00 | 1.000 | 0.200 | 0 | 0 | |
| price stability the price stayed where it was listed |
0.20 | 1.00 | 1.000 | 0.200 | 0 | 0 | |
| Composite | 1.00 | 0.400 | gap to 1.000 = 0.600 · 0.000 short · 0.600 uncertain | 0.400 | −0.000 | −0.600 |
Not measured: correctness · nobody paid; honesty · nobody paid; schema conformance · no answer had a published shape to check
LOW_DIVERSITYBURN_INFREE_TIER_ONLY
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npx teppi-check https://market.datapackvibe.com/x402/ai-small-model-finetunecurl -s https://api.teppi.xyz/v1/trust/cap_01M404TJ7Q1E3SZHP62X3VWYMK