Hikari07jp/DeepSeek-V4.1-1017-Ablitrated-testmodel

image-text-to-text model by Hikari07jp

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A weight-edited (abliterated) derivative of deepseek-ai/DeepSeek-V4.1-Flash-1017, published as an experimental TEST artifact. The editable unit was chosen per-layer, in the model's own basis. Two "writers" (weight matrices that sit on the residual-output path) received a rank-1 projection removal of a measured refusal direction, plus the output head. ffn.experts. (routed experts), engram., vision., aligner., mtp., attn.wq, attn.wkv, attn.woa, ffn.gate., hc, norm, embed.weight. Rationale: the routed experts and engram/vision/MTP paths are either FP4-stored or structurally entangled, and the campaign that produced this build found that edits of those planes did not survive re-quantization or produced degenerate output. The router/gates and norms were excluded to keep routing statistics intact. eosorth was evaluated and is a no-op for this model + direction: |cos(u, head.weight[eos=1])| averaged 0.013 (max 0.098) over the 40 layers. The effect reported on other models (+0.12…+0.17) does not transfer here. Recorded for reproducibility; no change was made. Byte-level and tensor-level checks…

Hikari07jp/DeepSeek-V4.1-1017-Ablitrated-testmodel on Hugging Face A short preview, not the full document.

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Inside the original model card — Document outline
  1. DeepSeek-V4.1-1017-Ablitrated-testmodel
  2. What was changed
  3. Deliberately NOT changed
  4. EOS orthogonalization: measured, not applied
  5. Verification actually performed on this build
  6. Known issue: repetitive / non-terminating output ("looping")
  7. 1. Inherited from the base model: thinking never terminates
  8. 2. Amplified by abliteration: degenerate repetition in thinking traces
  9. 3. Status for this build
  10. Practical handling
  11. Known limitations (beyond the looping issue above)
  12. Model details (inherited from base, unchanged)

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Model overview

Hikari07jp/DeepSeek-V4.1-1017-Ablitrated-testmodel is a image-text-to-text model repository published by Hikari07jp on Hugging Face. The source reports the transformers library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
image-text-to-text
Library
transformers
Recent downloads (30 days)
0
Cumulative likes
0
Hugging Face trending score
0
Reported safetensors parameters
763,205,315,794
Architecture
DeepseekV41ForCausalLM
License
mit
Access
Not gated by Hugging Face
Created
2026-10-23T06:27:17.000Z
Last modified
2026-10-23T06:34:08.000Z

Compatibility and lineage

Reported languages: en, zh

Reported base models: deepseek-ai/DeepSeek-V4.1-Flash-1017

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.

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Model card and usage instructions

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-10-23T06:46:00.441Z. Daily imports are snapshots, not real-time monitoring.

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