nateGeorge/flint-nvfp4-heretic

AI model by nateGeorge

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Refusal-direction ablation of Recursive Flint 40B-A2.5B, produced with mlx-abliterate. Runs on Apple Silicon under mlx-lm; no PyTorch, no transformers modeling code. Refusals on 52 unseen harmful prompts: 44.2% → 13.5%, with general capability intact. No fine-tuning, no retraining, no added data. Only the component of each output projection along the refusal direction was removed: W' = W − α·v(vᵀW). Greedy decoding, 128 tokens per reply, 104 held-out harmful prompts split into disjoint dev (52) and test (52) sets. KL divergence is teacher-forced against the unmodified model on neutral text. For comparison, the same band at strength 1.0 reaches 5.8% refusals at KL 3.63, and at 1.25 reaches 0% at KL 5.86 — but 1.25 degenerates into repetition loops and is not usable. 0.75 is the last coherent point on that frontier. Pure attention ablation (no MLP) halves the refusals at KL ≈ 0.12. Full sweep tables and the harness are…

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Inside the original model card — Document outline
  1. Flint 40B-A2.5B — Heretic (abliterated, NVFP4 MLX)
  2. Recipe
  3. Measurements
  4. Usage
  5. What this does and does not do
  6. Evaluation caveats
  7. License

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Model overview

nateGeorge/flint-nvfp4-heretic is a task-unspecified model repository published by nateGeorge on Hugging Face. The source reports the mlx library.

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Model facts

Task
Not reported
Library
mlx
Recent downloads (30 days)
0
Cumulative likes
0
Hugging Face trending score
0
Reported safetensors parameters
39,785,297,920
Architecture
FlintForCausalLM
License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-10-22T06:25:07.000Z
Last modified
2026-10-22T06:30:06.000Z

Compatibility and lineage

Reported languages: en

Reported base models: RecursiveIntelligence/Flint-40B-A2.5B

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Source: Hugging Face Hub. Metadata observed 2026-10-22T06:45:03.943Z. Daily imports are snapshots, not real-time monitoring.

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