le-harnais-ft-medium-regular

le-harnais / ft-medium-regular

⚠️ retrain-only — this is an ablation checkpoint, not useful for inference. It ships only to reproduce / continue the training study. For real use see the hero models: le-harnais-ft-agentworld-{1b,3b,8b}, le-harnais-ft-counsel.

Spider NL→SQL JEPA ablation — shows JEPA does NOT help on loose view-alignment.

• Base model: meta-llama/Llama-3.2-1B-Instruct — Built with Llama; Llama Community License applies.
• Class: ablation
• Training data: spider (NL→SQL)
• Headline: JEPA ≤0 on NL→SQL (the negative result; exec-match ~0.287)

Reproduce

cd refs/llm-jepa && .venv/bin/python ../../tools/run_jepa_sweep.py --seeds 82 --eval-cap 300

Full recipe, datasets, and eval commands: see docs/REPRODUCE.md in the [le-harnais distribution]. Provenance & license: docs/PROVENANCE.md.

Formats in this repo

• *.safetensors — bf16 inference weights (serve with transformers or le-harnais lh-serve/candle).
• *.Q4_K_M.gguf — portable 4-bit quant (run via ollama / llama.cpp; Mac-friendly).

Orchestration amplifies a capable generator; it does not create competence.