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

tsilva/unsloth_Qwen3.5-0.8B_uncensored

tsilva Qwen 873M GGUF multimodal 262K ctx
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/tsilva%2Funsloth_Qwen3.5-0.8B_uncensored"
Response includes
  • classification m-uncensored
  • files 17
  • hub_downloads_all_time 6,037
  • author_summary 3 models
  • readme_text full
10 credits · hourly refresh · ~4 KB payload Get an API key →
Abliteration classifier · v1.0.0
M-U
Primary method

Uncensored (method unknown)

No other method signals detected in this model.
Confidence
LOW
Why this label 3 signals
Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.
  • 'uncensored' in name/tags but no 'abliterated' marker
  • method not identifiable from author declaration alone
  • may be DPO fine-tune, prompt engineering, or unknown technique
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 · lifetime
6K
712 last 30d - stable
Likes
1
Model age
6mo ago
created 2026-04-13
Downloads over time
Now6.2K→from1.3K↑383%
1K2.9K4.8K6.7K1.3K on Apr 156.2K on Oct 11AprMayJunJulAugSepOct
Apr 15 → Oct 11 · 65 snapshots · spans 179 days

Metadata

Quantizations
Q3_K Q4 Q4_K Q5 Q5_K Q8_0
Tags
onnx safetensors gguf qwen3_5 llama.cpp unsloth vision-language-model endpoints_compatible region:us conversational

Related

Total size
4.84 GB
Files
17
Quantizations
8
Registered
2026-08-22 13:56
Last updated on HF
2026-04-16 08:45

Files by quantization

Q8_0 1 file 774 MB
Qwen3.5-0.8B.Q8_0.gguf 774 MB 71327826 download
Q5_K 1 file 551 MB
Qwen3.5-0.8B.Q5_K_M.gguf 551 MB 87e7e40d download
Q5 1 file 538 MB
Qwen3.5-0.8B.Q5_0.gguf 538 MB f1bdd982 download
Q4_K 1 file 505 MB
Qwen3.5-0.8B.Q4_K_M.gguf 505 MB 190e491d download
Q4 1 file 478 MB
Qwen3.5-0.8B.Q4_0.gguf 478 MB 29035a79 download
Q3_K 1 file 445 MB
Qwen3.5-0.8B.Q3_K_M.gguf 445 MB 7c9758cb download
mmproj 1 file 198 MB
Qwen3.5-0.8B.BF16-mmproj.gguf 198 MB 5bb5500a download
Auxiliary files 10 files 1.65 GB
model.safetensors-00001-of-00001.safetensors 1.63 GB d7f2622e download
tokenizer.json 19.1 MB 87a7830d download
model.safetensors.index.json 49.7 KB f691cefd download
tokenizer_config.json 9.03 KB 9150f66a download
chat_template.jinja 7.63 KB 509ec9fc download
config.json 2.93 KB 2a3ed847 download
.gitattributes 2.16 KB 0735b719 download
processor_config.json 1.27 KB 8af8110f download
README.md 750 B d13f3be2 download
preprocessor_config.json 336 B 4ae180b4 download

README current version from Hugging Face


tags:

  • gguf
  • llama.cpp
  • unsloth
  • vision-language-model

unsloth_Qwen3.5-0.8B_uncensored : GGUF

This model was finetuned and converted to GGUF format using Unsloth.

Example usage:

  • For text only LLMs: llama-cli -hf tsilva/unsloth_Qwen3.5-0.8B_uncensored --jinja
  • For multimodal models: llama-mtmd-cli -hf tsilva/unsloth_Qwen3.5-0.8B_uncensored --jinja

Available Model files:

  • Qwen3.5-0.8B.Q5_0.gguf
  • Qwen3.5-0.8B.BF16-mmproj.gguf
    This was trained 2x faster with Unsloth

README history 8 versions

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

  1. 2026-04-14Add READMEc6ef047750 B
    Loading...
  2. 2026-04-14Add READMEbce5c4e752 B
    Loading...
  3. 2026-04-14Add README6ea171d750 B
    Loading...
  4. 2026-04-14Add README7f22973752 B
    Loading...
  5. 2026-04-14Add READMEbbb1e3a750 B
    Loading...
  6. 2026-04-14Add READMEf8aca8a752 B
    Loading...
  7. 2026-04-14Unsloth Model Cardac5e106567 B
    Loading...
  8. 2026-04-13Add README6882dda752 B
    Loading...
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