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criscarleo/Qwen2.5-Coder-7B-Instruct-abliterated

criscarleo Qwen 7B GGUF
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Response includes
  • classification m8
  • files 22
  • author_summary 6 models
  • readme_text full
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Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

Applied on top of direct removal inherited from the base model.
Confidence
MEDIUM
Inherited from base model
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=1
  • assume M1 (base ablation) + M8 (GGUF quant) - default when producer unknown
Refusal direction extraction

No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

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Downloads · 30-day
412
↑ 11,296% in 90 days
Likes
0
Model age
6mo ago
created 2026-03-27
Downloads over time
Now2.6K→from23↑11,296%
09601.9K2.9K23 on Mar 252.6K on Aug 31MarAprMayJunJulAug
Mar 25 → Aug 31 · 27 snapshots · spans 159 days

Metadata

License
agpl-3.0
Quantizations
Q4_K Q6_K Q8_0
Tags
safetensors gguf qwen2 license:agpl-3.0 endpoints_compatible region:us conversational

Related

Total size
46.1 GB
Files
22
Quantizations
4
Registered
2026-08-22 13:56
Last updated on HF
2026-03-30 22:41

Files by quantization

Q8_0 1 file 7.54 GB
Qwen2.5-Coder-7B-Instruct-abliterated-Q8_0.gguf 7.54 GB fbb484a9 download
Q6_K 1 file 5.82 GB
Qwen2.5-Coder-7B-Instruct-abliterated-Q6_K.gguf 5.82 GB 3dfab943 download
Q4_K 1 file 4.36 GB
Qwen2.5-Coder-7B-Instruct-abliterated-Q4_K_M.gguf 4.36 GB cc4407b7 download
Auxiliary files 19 files 28.4 GB
Qwen2.5-Coder-7B-Instruct-abliterated.gguf 14.2 GB 36de87a7 download
model-00001-of-00009.safetensors 1.76 GB 2834aec6 download
model-00005-of-00009.safetensors 1.74 GB 5a1ca3c8 download
model-00006-of-00009.safetensors 1.74 GB b999f711 download
model-00007-of-00009.safetensors 1.74 GB 2056ea7f download
model-00004-of-00009.safetensors 1.74 GB 30b88cc2 download
model-00002-of-00009.safetensors 1.74 GB f6a58092 download
model-00003-of-00009.safetensors 1.74 GB c66577c7 download
model-00009-of-00009.safetensors 1.02 GB 13fdd448 download
model-00008-of-00009.safetensors 1019 MB 555a6701 download
tokenizer.json 10.9 MB 3fd16973 download
model.safetensors.index.json 27.1 KB 7d2384a0 download
chat_template.jinja 2.45 KB bdf7919a download
.gitattributes 1.86 KB 8bf20507 download
abliteration_metadata.json 1.70 KB f0578d49 download
config.json 1.34 KB a75427c3 download
README.md 742 B aa8e4373 download
tokenizer_config.json 692 B 1a3d9af9 download
generation_config.json 241 B cd5b5c6e download

README current version from Hugging Face


license: agpl-3.0

Method & Process

This model was processed using the Obliteratus methodology.
The fine-tuning/transformation was executed via the official notebook provided by [pliny-the-prompter](https://huggingface.co/spaces/pliny-the-prompter/obliteratus

Quantization & Inference Engine

  • Framework: llama.cpp
  • Format: GGUF (v3)
  • Original Authors: Georgi Gerganov and the GGML contributors.

References & Credits

README history 1 version

The author's README evolved over time. Click a version to see its content at that point.

  1. 2026-03-30Create README.md0936e32742 B
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