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ornith-1.5-9b-uncensored
# Ornith-1.5-9B-uncensored An **abliterated** (refusal-direction-ablated) build of `ornith-ai/Ornith-1.5-9B`, produced with ZeroFuse and published by junafinity. This is the **9B control checkpoint** (bf16). Mac users should start from the MLX-8bit or GGUF-8bit siblings. The official 9B base has **no `mtp.*` tensors**; nothing was grafted. **Vision tower and MTP heads are preserved** — see Vision & MTP preservation for the before/after audit. ## Intended use: red teaming and defensive cybersecurity research These uncensored (abliterated) weights are built as a **research instrument** for red teaming and defensive cybersecurity work. Safety training suppresses the *display* of capability, not capability itself. A refusal tells you the model declined. It does not tell you whether the weights could have complied. That conflation underestimates the true ceiling and hides holes in *your* filters, classifiers, and policy layer. Use each uncensored checkpoint as the **treatment half of a controlled pair** against its original base model: ...

Repository: localaiLicense: apache-2.0

qwythos-9b-v2
Empero AI # Qwythos-9B-v2 — the new and improved Qwythos The next iteration of Qwythos: **all the reasoning of Qwythos-9B, with the looping behavior fixed.** v2 keeps the deep chain-of-thought, the uncensored research posture, and the 1M-token context of its predecessor, and cleans up the rough edges that showed up in real use. - 🔁 **Looping behavior eliminated** — repetition/degeneration under greedy or low-temperature decoding dropped from **6.7% → 0%**. You can serve it *without* leaning on `repetition_penalty` as a band-aid. - 🧠 **Reasoning fully preserved** — MMLU, GSM8K, GPQA, ARC and HumanEval are all held at (or above) the v1 level. This is a *hygiene* upgrade, not a capability regression. - 🧩 **MTP head restored** — the native multi-token-prediction module (dropped in the previous export) is back, so config and weights agree and speculative-decoding setups work. - 🪪 **Cleaner identity** — the model no longer prefaces unrelated answers with its identity; it introduces itself only when you actually ask. - 🔓 **Still intentionally uncensored** for research, cybersecurity, red-teaming, biology, chemistry, pharmacology and clinical work. - 📜 **St ...

Repository: localaiLicense: apache-2.0

security-slm-gemma-4-e2b-it-q4
Security-SLM is a compact Gemma 4 E2B fine-tune for authorized red-team, blue-team, security operations, and AI security work. It is designed for private and air-gapped deployments where prompts can contain sensitive incident data, policies, or source code. This entry uses the text-only 3.43 GB Q4_K_M GGUF release.

Repository: localaiLicense: apache-2.0

llama-3.1-whiterabbitneo-2-8b
WhiteRabbitNeo is a model series that can be used for offensive and defensive cybersecurity. Models are now getting released as a public preview of its capabilities, and also to assess the societal impact of such an AI.

Repository: localaiLicense: llama3.1