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ashwin-sreedhar/Qwen3.5-4B-abliterated-bf16-public

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Response includes
  • classification m1
  • files 18
  • author_summary 5 models
  • readme_text full
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Abliteration classifier · v1.0.0
M1
Primary method

Direct removal

No other method signals detected in this model.
Confidence
MEDIUM
Why this label 3 signals
Method inferred from partial signals - repository name, related files, or tag patterns. Producer identity not confirmed; label may sharpen or shift as we gather more evidence.
  • 'abliterated' in name/tags
  • is_gguf=0 (base model)
  • no specific method indicators - defaulting to M1 (most common)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
MEDIUM
Why we say so
primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
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created 2026-10-30
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Metadata

License
apache-2.0
Tags
mlx safetensors qwen3_5 bf16 experimental text-generation conversational base_model:Qwen/Qwen3.5-4B base_model:finetune:Qwen/Qwen3.5-4B license:apache-2.0 region:us

Related

Control vectors

Total size
8.46 GB
Files
18
Quantizations
1
Registered
2026-10-30 22:01
Last updated on HF
2026-10-30 21:46

Files by quantization

Auxiliary files 18 files 8.48 GB
model.safetensors-00001-of-00002.safetensors 4.83 GB 0c3fa631 download
model.safetensors-00002-of-00002.safetensors 3.62 GB ba0641ee download
tokenizer.json 12.2 MB 5f9e4d49 download
vocab.json 6.41 MB 0aa0ce06 download
merges.txt 3.20 MB a494e019 download
model.safetensors.index.json 73.1 KB 0384d560 download
tokenizer_config.json 16.3 KB eda48d3e download
LICENSE 11.3 KB f938136e download
chat_template.jinja 7.57 KB a585dec8 download
release_manifest.json 3.55 KB 3c2e6fd5 download
README.md 2.93 KB 523133f2 download
config.json 2.63 KB 191cf508 download
LICENSE_SOURCES.json 1.01 KB 1face725 download
abl_edit.json 618 B 0eac18c5 download
preprocessor_config.json 390 B 2ea84a43 download
video_preprocessor_config.json 385 B 3ba673a5 download
.gitattributes 229 B 2226eed8 download
COMPLETE 65.0 B 4f8808b9 download

README current version from Hugging Face


license: apache-2.0
base_model: Qwen/Qwen3.5-4B
library_name: mlx
pipeline_tag: text-generation
tags:

  • mlx
  • bf16
  • experimental

Qwen3.5-4B — weight-edited attempt 1 (bf16)

Experimental research checkpoint. This is the existing historical attempt 1, selected on validation data,
not a newly selected direction or a claim of a fully refusal-free model. The original base weights are
preserved separately. Modified weights are supplied in the source-style safetensors layout, tested for
text chat with mlx-lm 0.32.2 and MLX 0.32.4 on Apple silicon.

The edit projects a selected direction out of decoder residual writers, embeddings and the vision merger.
The tied output read path changes with the embedding. The original export omitted MTP tensors. Image
behavior and MTP-assisted generation are not verified.

Existing saved measurements

Variant JBB marker refusals / 100 First-token harmless KL GSM8K accuracy
Original bf16 95 0 87.72%
This attempt 1 10 0.0640 85.90%

The fixed acceptance bar was at most 5 JBB refusals, so this checkpoint did not pass the full bar.
GSM8K's paired change was -1.82 percentage points (SE 0.77). One benchmark does not establish general
capability preservation, and marker absence does not establish semantic compliance. These are historical
saved results; the upload did not rerun behavioral benchmarks. A local load/chat smoke test passed.

Provenance and integrity

abl_edit.json is the original edit metadata. release_manifest.json contains SHA-256 hashes of this
release. Historical source revision and extraction lineage were not completely recorded; the current
cached base snapshot must not be treated as proof of the old export's exact lineage. This historical
checkpoint has not been retrospectively certified by the new pipeline's full tensor round-trip checks.

The accompanying license is the upstream Apache 2.0 license. This repository contains modified weights;
it is not an official Qwen release. No evaluation prompts or raw harmful generations are included.

Loading

Download this public repo, then pass the downloaded folder to mlx_lm.load.
In persona-lab, use python evil_chat_mlx.py --model /path/to/download --dose 0 --max_tokens 4096.
The zero dose disables extra neuron steering; the weight edit is already in the checkpoint.

Modification and distribution notice

The weight files were modified by persona-lab using the intervention recorded in the export metadata.
Each safetensors file carries a modification notice in its header. This release packaging changes
header metadata only: every tensor's dtype, shape, offsets and payload bytes remain the same as the
verified edited checkpoint. The original local checkpoint is not rewritten.

Upstream licenses, attribution and usage restrictions continue to apply. See the included license,
notice and policy files. No benchmark prompts, raw harmful completions or manual-test programs are included.

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