PEFT
Safetensors
text-to-sql
lora
self-healing
agenttune
How to use from the
Use from the
PEFT library
from peft import PeftModel
from transformers import AutoModelForCausalLM

base_model = AutoModelForCausalLM.from_pretrained("CohereLabs/tiny-aya-global")
model = PeftModel.from_pretrained(base_model, "HideIron/tiny-aya-global-sql-selfheal-bco")

tiny-aya-global-sql-selfheal-bco (BCO, pairs only)

LoRA adapter for CohereLabs/tiny-aya-global (3.35B) from a fully automated self-healing text-to-SQL loop (Lexsi Labs Hackathon, Track 3, PS #8). Failures are detected by executing the SQL on real Spider databases, classified, corrected by Aya Expanse 32B (every fix verified by execution; the healer never sees the gold query), and retrained through AgentTune. Deployment is decided by AgentTune's DeploymentGate on held-out data.

Recipe: BCO (AgentTune RetrainConfig, TRL), same LoRA config, 153 verified fixes (label True) + 153 original wrong queries (label False).

Result: Regressed on the gate split and was BLOCKED; superseded by the +replay variant.

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