← back to catalog · registered 2026-10-28 15:01

tinyopsec/Qwen2.5-0.5B-abliterated-GGUF

tinyopsec Qwen 500M GGUF
Your rig guess connected
? Why do I need an app?
Reading your rig…

This is a rough estimate. Install the free app - we'll show exact numbers.

Reading real hardware from your app right now. Numbers below are exact.

Below is the per-quantization compatibility for this model.

curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/tinyopsec%2FQwen2.5-0.5B-abliterated-GGUF"
Response includes
  • classification m8
  • files 15
  • author_summary 8 models
  • readme_text full
10 credits · hourly refresh · ~4 KB payload Get an API key →
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.

What is a refusal direction? →
Downloads · 30-day
0
Likes
0
Model age
today
created 2026-10-28

Genealogy 0 direct forks

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
Quantizations
F16 Q2_K Q3_K Q4 Q4_K Q5 Q5_K Q6_K Q8_0
Tags
gguf qwen2 abliterated uncensored llama-cpp text-generation base_model:Qwen/Qwen2.5-0.5B-Instruct base_model:quantized:Qwen/Qwen2.5-0.5B-Instruct license:apache-2.0 endpoints_compatible region:us conversational

Related

Total size
6.73 GB
Files
15
Quantizations
10
Registered
2026-10-28 15:01
Last updated on HF
2026-10-28 14:21

Files by quantization

F16 1 file 1.18 GB
model-F16.gguf 1.18 GB a01bedbc download
Q8_0 1 file 644 MB
model-Q8_0.gguf 644 MB a14bec72 download
Q6_K 1 file 620 MB
model-Q6_K.gguf 620 MB aae27f5d download
Q5_K 2 files 989 MB
model-Q5_K_M.gguf 498 MB 675ab0c2 download
model-Q5_K_S.gguf 491 MB 6d49fca8 download
Q4_K 2 files 926 MB
model-Q4_K_M.gguf 469 MB 2c810771 download
model-Q4_K_S.gguf 457 MB 84283f4a download
Q5 1 file 468 MB
model-Q5_0.gguf 468 MB 4f39fd5e download
Q3_K 3 files 1.20 GB
model-Q3_K_L.gguf 425 MB 33f8dd8a download
model-Q3_K_M.gguf 412 MB 6d4959a9 download
model-Q3_K_S.gguf 396 MB 7c1ffadf download
Q4 1 file 409 MB
model-Q4_0.gguf 409 MB c8c967b2 download
Q2_K 1 file 396 MB
model-Q2_K.gguf 396 MB 296d6076 download
Auxiliary files 2 files 3.44 KB
.gitattributes 2.16 KB 69701adf download
README.md 1.29 KB 95f43d75 download

README current version from Hugging Face


license: apache-2.0
base_model: Qwen/Qwen2.5-0.5B-Instruct
library_name: gguf
pipeline_tag: text-generation
tags:

  • qwen2
  • gguf
  • abliterated
  • uncensored
  • llama-cpp

Qwen2.5-0.5B-abliterated — GGUF

GGUF quantizations of sbussiso/Qwen2.5-0.5B-abliterated, an abliterated Qwen2.5-0.5B-Instruct checkpoint, produced with llama.cpp.

Available files

File Quantization Description
model-F16.gguf F16 Full precision (1.0 GB)
model-Q8_0.gguf Q8_0 8-bit
model-Q6_K.gguf Q6_K 6-bit
model-Q5_K_M.gguf Q5_K_M 5-bit medium
model-Q5_K_S.gguf Q5_K_S 5-bit small
model-Q5_0.gguf Q5_0 5-bit
model-Q4_K_M.gguf Q4_K_M 4-bit medium (recommended)
model-Q4_K_S.gguf Q4_K_S 4-bit small
model-Q4_0.gguf Q4_0 4-bit
model-Q3_K_L.gguf Q3_K_L 3-bit large
model-Q3_K_M.gguf Q3_K_M 3-bit medium
model-Q3_K_S.gguf Q3_K_S 3-bit small
model-Q2_K.gguf Q2_K 2-bit

Usage

With llama.cpp:

./llama-cli -m model-Q4_K_M.gguf -p "Your prompt" -n 256

Or any GGUF-compatible runtime (Ollama, LM Studio, koboldcpp, etc.).

License

Apache License 2.0. Built on Qwen/Qwen2.5-0.5B-Instruct.

Disclaimer

Abliterated/uncensored research model. Evaluate before use.

Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Open in Abliteration