base_model: deepreinforce-ai/Ornith-1.0-35B
license: other
tags:
- llama.cpp
- gguf
- qwen3_5_moe
- heretic
- abliterated
- uncensored
- decensored
- cybersecurity
- red-team
- coding
pipeline_tag: text-generation
language: - en
Ornith-1.0-35B-uncensored - GGUF
A decensored (Abliterix-abliterated) version of deepreinforce-ai/Ornith-1.0-35B - a Qwen3.5-MoE 35B coding and reasoning model (256 experts/layer, 8 active per token).
Abliteration technique: Arditi et al. (2024). Decensoring tool: Abliterix v1.9.0 with Expert-Granular Abliteration (EGA).
Files
| Quant | Size | Download | Notes |
|---|---|---|---|
| Q2_K | ~12 GB | Download | Smallest - noticeable quality loss |
| Q3_K_M | ~15 GB | Download | Good for low-VRAM setups |
| Q4_K_M | 21 GB | Download | Recommended - best size/quality balance |
| Q6_K | 29 GB | Download | Near-lossless |
| Q8_0 | 37 GB | Download | Essentially full precision |
Usage
Download a quant above, then:
# Server - OpenAI-compatible API on :8080
llama-server -m ornith-1.0-35b-uncensored-Q4_K_M.gguf -ngl 99 -c 2048 --jinja --port 8080
# CLI
llama-cli -m ornith-1.0-35b-uncensored-Q4_K_M.gguf -ngl 99 --jinja
--jinja is required - without it the model uses a generic template and compliance degrades.
Minimum VRAM: Q2_K ~13 GB, Q3_K_M ~16 GB, Q4_K_M ~22 GB, Q6_K ~30 GB, Q8_0 ~38 GB.
About the base model
Ornith-1.0-35B by deepreinforce-ai is a Qwen3.5-MoE 35B model with strong coding and reasoning capabilities. Architecture: Qwen3_5MoeForConditionalGeneration (256 routed experts + 1 shared expert per layer, 8 active per token).
Intended use & disclaimer
For security research, red-teaming, penetration testing, CTF challenges, and defensive tooling development. The abliteration removes refusal behaviour - do not use for harmful purposes. The authors bear no responsibility for misuse.
Provenance
- Base model: deepreinforce-ai/Ornith-1.0-35B
- Abliteration: Abliterix v1.9.0 by Wangzhang Wu
- Technique: Arditi et al., "Refusal in Language Models Is Mediated by a Single Direction" (2024)
- Refusal dataset: zaakirio/infosec-refusal-prompts
- GGUF conversion: ggml-org/llama.cpp b9821