← back to catalog · registered 2026-09-08 10:55

theailearner/HiveCoder2-Abliterated

theailearner Qwen multimodal
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Response includes
  • classification m1
  • files 32
  • author_summary 6 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)
Downloads · 30-day
34
Likes
0
Descendants
1
in 1 direct fork
Model age
6w ago
created 2026-09-08
Downloads over time
Now34→from0↑0%
01225370 on Sep 834 on Sep 1534 on Sep 11Sep
Sep 8 → Sep 15 · 8 snapshots · spans 7 days

Genealogy 1 direct fork

Full fork graph →

This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

Metadata

License
apache-2.0
Tags
transformers safetensors qwen3_5 image-text-to-text multimodal abliterated hivecoder conversational base_model:Qwen/Qwen3.8-27B base_model:finetune:Qwen/Qwen3.8-27B license:apache-2.0 endpoints_compatible

Related

Total size
51.7 GB
Files
32
Quantizations
1
Registered
2026-09-08 10:55
Last updated on HF
2026-09-09 03:40

Files by quantization

Auxiliary files 32 files 51.8 GB
model-00004-of-00018.safetensors 3.72 GB dd034ab5 download
model-00016-of-00018.safetensors 3.71 GB 88a23bed download
model-00006-of-00018.safetensors 3.71 GB 8a945744 download
model-00008-of-00018.safetensors 3.71 GB fb071b8a download
model-00010-of-00018.safetensors 3.71 GB 4b26be9b download
model-00012-of-00018.safetensors 3.71 GB a07620fe download
model-00014-of-00018.safetensors 3.71 GB 20c6a242 download
model-00001-of-00018.safetensors 3.69 GB b5b3e267 download
model-00018-of-00018.safetensors 3.16 GB acc8bda9 download
model-00002-of-00018.safetensors 2.83 GB 571da460 download
model-00003-of-00018.safetensors 2.37 GB 28e80f0c download
model-00007-of-00018.safetensors 1.96 GB 7fd5f927 download
model-00009-of-00018.safetensors 1.96 GB 9e715a05 download
model-00011-of-00018.safetensors 1.96 GB 9ee3d498 download
model-00013-of-00018.safetensors 1.96 GB 2897c8f1 download
model-00015-of-00018.safetensors 1.96 GB 953c106b download
model-00017-of-00018.safetensors 1.96 GB 20534efe download
model-00005-of-00018.safetensors 1.96 GB d85bb312 download
tokenizer.json 12.2 MB 0997f410 download
vocab.json 6.41 MB 0aa0ce06 download
merges.txt 3.20 MB a494e019 download
model.safetensors.index.json 110 KB da35e3c5 download
tokenizer_config.json 17.5 KB 5de744b3 download
LICENSE 11.3 KB f938136e download
chat_template.jinja 8.74 KB c0c686f9 download
config.json 4.21 KB 706cebd7 download
.gitattributes 1.53 KB 52373fe2 download
README.md 1009 B 434509d8 download
preprocessor_config.json 390 B 2ea84a43 download
video_preprocessor_config.json 385 B 3ba673a5 download
crc32.txt 238 B 6de5ee6a download
generation_config.json 202 B 023756cf download

README current version from Hugging Face


license: apache-2.0
base_model: Qwen/Qwen3.8-27B
library_name: transformers
tags:

  • qwen3_5
  • multimodal
  • abliterated
  • hivecoder

HiveCoder2-Abliterated

Refusal-abliterated Qwen/Qwen3.8-27B (multimodal Qwen3.5, 64 layers, hybrid Gated DeltaNet /
Gated Attention). No fine-tuning -- a direct weight edit.

Refusal direction = mean(harmful) - mean(harmless) of the last-token residual, layer and scale
selected by measured refusal-rate drop on held-out prompts, then removed from the text decoder's
residual-writing weights (embed_tokens, self_attn.o_proj, linear_attn.out_proj,
mlp.down_proj) using norm-preserving orthogonalization (magnitude restored per vector,
after grimjim). The vision tower (model.visual.*) is untouched.

Method sources: Sumandora/remove-refusals-with-transformers, jim-plus/llm-abliteration,
and grimjim's norm-preserving biprojected abliteration.

Disclaimer

Safety refusals removed. Use responsibly and per the base model license and applicable law.

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