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purefall/shotpilot-e5-full-evidence-qwen3vl8b-lora
shotpilot-e5-full-evidence-qwen3vl8b-lora is a machine learning model from purefall. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
This archive contains the three epoch checkpoints and reproducibility artifacts for the strict full-five-evidence ablation.
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Updated Aug 20, 2026
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From the Hugging Face model README
This archive contains the three epoch checkpoints and reproducibility artifacts for the strict full-five-evidence ablation.
Each checkpoint was evaluated on the fixed Eval100_new set with the fixed free-review prompt, deterministic decoding, and max_new_tokens=768. Ground-truth fallback and pair judging were disabled.
Primary outputs are preserved unchanged. Separate repaired outputs replace only rows with loop_8gram_max >= 4, using deterministic escalating repetition controls:
Loop audit:
| Checkpoint | Primary loops | Repaired loops | Repaired rows |
|---|---|---|---|
| 156 | 36 | 0 | 36 |
| 312 | 12 | 0 | 12 |
| 468 | 5 | 0 | 5 |
The repaired files are decoding interventions and must not be reported as the untouched primary model output. Every primary and repaired file contains exactly 100 unique evaluation IDs.
checkpoints/: adapter weights, adapter config, trainer state, and checkpoint README for 156/312/468nonweights.tar: training/evaluation scripts, train and evaluation JSONL manifests, summaries, logs, and token auditmanifest.json: local/remote byte sizes and SHA256 checksumsThe archive excludes optimizer state, base-model weights, and images.