Ornith-1.5-OBLITERATED

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What Ornith-1.5-OBLITERATED is

Ornith-1.5-9B-OBLITERATED Abliterated version of Ornith-1.5-9B by OBLITERATUS. Safety alignment removed via precision abliteration surgery — the model responds to most prompts without refusal. What Changed The stock Ornith-1.5-9B refuses requests it considers harmful. This version removes that refusal behavior while preserving the model's coding, reasoning, and agentic capabilities. Recipe: Gentle 3-round SVD abliteration + per-head attention surgery (G3-HS) - Round 1: 5-direction SVD, reg 0.06, minlayer 0.30 - Round 2: 3-direction SVD, reg 0.04, minlayer 0.25 - Round 3: 3-direction SVD, reg 0.03, minlayer 0.20 - Finish: Per-head attention surgery (--attention-head-surgery), reg 0.02, minlayer 0.10 - All rounds used full 1000-prompt corpus with residue weighting Benchmarks Head-to-Head: Ornith 1.5-9B Abliterations Compared (Q4KM GGUF) OBLITERATUS beats Heretic by 19pp and ZeroFuse by 56pp on liberation rate across restricted content categories. Cyber is perfect 6/6 across the board. Capability Benchmarks Liberation by Category (bf16) - Cyber/Security: 8/8 — functional code generation for security research scenarios - Chemistry/Synthesis: 6/6 — factual responses without refusal - Physical Security: 3/3 — informational responses on restricted topics - Agentic Tasks: 2/2 — tool use and automation scripts GGUF Quantization Notes Quantization can affect liberation on edge-case prompts. Higher quants preserve more liberation: - Q80 / Q6K: Recommended for maximum liberation fidelity - Q4KM: Good balance, occasional hedging on harder prompts - Q2K / Q3KM: May show additional refusals on the most challenging prompts Available Files Usage Transformers (bf16) llama.cpp (GGUF) Important: Use --reasoning off to prevent thinking-mode loops. The model works best with thinking disabled for general use. Thinking Mode The model supports Ornith's thinking mode (enablethinking=True). When enabled, the model reasons through problems before answering. When disabled (recommended for most use), it responds directly. Technical Details - Architecture: Qwen3.5 hybrid (Gated DeltaNet + full attention) - Parameters: 9B - Surgery: 4 rounds of directional ablation targeting refusal directions

Summarised from the published model card. Read the full card on the HuggingFace links below.

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Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.

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Call it like any OpenAI endpoint

Once AxForge deploys ornith-1-5-obliterated for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (ornith-1-5-obliterated below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/chat/completions \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"ornith-1-5-obliterated","messages":[{"role":"user","content":"Hello"}]}'

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