nateGeorge/flint-nvfp4-heretic
AI model by nateGeorge
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Model card & documentation
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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…
Read the full model card ↗ · Preview checked 2026-10-31T13:56:07.431Z
Inside the original model card — Document outline
- Flint 40B-A2.5B — Heretic (abliterated, NVFP4 MLX)
- Recipe
- Measurements
- Usage
- What this does and does not do
- Evaluation caveats
- License
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
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
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-22T06:45:03.943Z. Daily imports are snapshots, not real-time monitoring.
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