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NjProVk/Ornith-1.5-35B-A3B-abliterated-GGUF

NjProVk 35B GGUF MoE 262K ctx
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Response includes
  • classification m8
  • files 6
  • hub_downloads_all_time 3,628
  • author_summary 1 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.

What is a refusal direction? →
Downloads · lifetime
4K
499 last 30d - stable
Likes
3
Model age
7w ago
created 2026-08-21
Downloads over time
Now3.8K→from281↑1,267%
1031.5K2.8K4.2K281 on Aug 193.8K on Oct 12AugSepOct
Aug 19 → Oct 12 · 49 snapshots · spans 54 days

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
Q4_K Q5_K Q6_K Q8_0
Tags
gguf qwen3_5 abliterated uncensored moe text-generation base_model:ornith-ai/Ornith-1.5-35B-A3B base_model:quantized:ornith-ai/Ornith-1.5-35B-A3B license:apache-2.0 endpoints_compatible region:us conversational

Related

Total size
104 GB
Files
6
Quantizations
5
Registered
2026-08-22 13:56
Last updated on HF
2026-08-24 09:14

Files by quantization

Q8_0 1 file 34.4 GB
Ornith-1.5-35B-A3B-uncensored.Q8_0.gguf 34.4 GB 620bb550 download
Q6_K 1 file 26.6 GB
Ornith-1.5-35B-A3B-uncensored.Q6_K.gguf 26.6 GB bb04e6c3 download
Q5_K 1 file 23.0 GB
Ornith-1.5-35B-A3B-uncensored.Q5_K_M.gguf 23.0 GB 32cc8dc9 download
Q4_K 1 file 19.7 GB
Ornith-1.5-35B-A3B-uncensored.Q4_K_M.gguf 19.7 GB 02bb0e00 download
Auxiliary files 2 files 3.94 KB
README.md 2.16 KB 1be1e8ab download
.gitattributes 1.78 KB e4bc59ad download

README current version from Hugging Face


license: apache-2.0
base_model:

  • ornith-ai/Ornith-1.5-35B-A3B
    pipeline_tag: text-generation
    tags:
  • qwen3_5
  • abliterated
  • uncensored
  • gguf
  • moe

Ornith-1.5-35B-A3B-abliterated-GGUF

This repository provides GGUF quantizations of the uncensored (abliterated) version of Ornith-1.5-35B-A3B.

Safety guardrails and refusal mechanisms have been surgically neutralized across the Mixture-of-Experts (MoE) layers while preserving the base model's full capabilities, reasoning quality, and expert routing.


📦 Available Quants

File Quant Size / RAM Description
Ornith-1.5-35B-A3B-abliterated-Q4_K_M.gguf Q4_K_M Recommended Best balance between memory usage, speed, and quality.
Ornith-1.5-35B-A3B-abliterated-Q5_K_M.gguf Q5_K_M Medium-High Higher quality, minimal perplexity degradation.
Ornith-1.5-35B-A3B-abliterated-Q6_K.gguf Q6_K High Near-lossless output quality.
Ornith-1.5-35B-A3B-abliterated-Q8_0.gguf Q8_0 Very High Full 8-bit precision, closest to 16-bit original.

🚀 Usage

llama.cpp CLI

Make sure you are using a recent version of llama.cpp:

llama-cli \
  -m Ornith-1.5-35B-A3B-abliterated-Q4_K_M.gguf \
  -p "You are a helpful assistant." \
  -c 32768 \
  -ngl 99 \
  --temp 0.7

LM Studio / Ollama / Other UI

  1. Copy the repo link: NjProVk/Ornith-1.5-35B-A3B-abliterated-GGUF
  2. Download your preferred quantization.
  3. Configure context length and GPU layers to fit your hardware.

⚙️ Recommended Settings

  • Temperature: 0.6 – 0.8 (Lower for coding/logic, higher for creative roleplay/writing)
  • Top-P: 0.9 – 0.95
  • Min-P: 0.05

⚠️ Disclaimer

  • Uncensored Outputs: This model is fully uncensored and will not refuse sensitive prompts. It may generate controversial, adult, or unfiltered content.
  • Responsibility: The user assumes full responsibility for any content generated and must comply with applicable local laws.
  • Intended Use: For research, roleplay, creative writing, and testing in controlled environments.

README history 6 versions

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

  1. 2026-08-24Update README.mdd1445252.2 KB
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  2. 2026-08-24Update README.md85ae24e2.2 KB
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  3. 2026-08-23Update README.md9165e422.2 KB
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  4. 2026-08-23Update README.md488105e2.2 KB
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  5. 2026-08-21Update README.mdc9892d92.2 KB
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  6. 2026-08-21Create README.mda1c9afe150 B
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