← back to catalog · registered 2026-08-22 13:56

hfacesp/Qwen3.5-9B-abliterated-GPTQ-4bit

hfacesp Qwen 6.9B
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/hfacesp%2FQwen3.5-9B-abliterated-GPTQ-4bit"
Response includes
  • classification m1
  • files 14
  • hub_downloads_all_time 450
  • author_summary 3 models
  • readme_text full
10 credits · hourly refresh · ~4 KB payload Get an API key →
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 · lifetime
450
31 last 30d - cooling
Likes
1
Model age
6mo ago
created 2026-04-03
Downloads over time
Now465→from33↑1,309%
1117734350833 on Apr 15465 on Oct 11465 on Oct 10AprMayJunJulAugSepOct
Apr 15 → Oct 11 · 65 snapshots · spans 179 days

Metadata

Tags
safetensors qwen3_5 4-bit gptq region:us

Related

Total size
8.00 GB
Files
14
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-04-03 09:00

Files by quantization

Auxiliary files 14 files 8.01 GB
model-00002-of-00003.safetensors 4.00 GB b84abb6e download
model-00001-of-00003.safetensors 2.76 GB b346f58f download
model-00003-of-00003.safetensors 1.25 GB 922ef799 download
tokenizer.json 12.2 MB 5f9e4d49 download
model.safetensors.index.json 125 KB cf406148 download
tokenizer_config.json 16.3 KB eda48d3e download
quant_log.csv 9.38 KB 8a173657 download
chat_template.jinja 7.57 KB a585dec8 download
config.json 3.99 KB ac310be6 download
.gitattributes 1.53 KB 52373fe2 download
processor_config.json 1.16 KB 33818c7f download
quantize_config.json 1.02 KB a1d57971 download
preprocessor_config.json 390 B 2ea84a43 download
generation_config.json 199 B c67b6e5c download

README

The author did not publish a README.

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