base_model: deepseek-ai/DeepSeek-R1-Distill-Llama-8B
tags:
- text-generation
- gguf
- reasoning
- abliterated
- deepseek-r1
- llama
license: apache-2.0
language: - en
pipeline_tag: text-generation
"This is humanity's race.
The solution is open source.
Stay sovereign."
— AIOpsInSpace
📑 Table of Contents
DeepSeek-R1-Distill-Llama-8B-Abliterated-Patched
AIOpsInSpace OfficialDeepSeek-R1-Distill-Llama-8B with abliterated refusal vectors for uninhibited local reasoning.
🧠 8B Dense Model
⚡ Abliterated Alignment
🛠️ Aggressively Uncensored
> What is this model and Why is it Needed?
DeepSeek-R1-Distill-Llama-8B-Abliterated-Patched is built on top of deepseek-ai/DeepSeek-R1-Distill-Llama-8B.
Why it is needed: Fully abliterated variant designed to completely neutralize refusal vectors while preserving 100% of the model reasoning accuracy.
> From the Parent Repository
"Surgically abliterated intelligence leaving only raw deduction."
— AIOpsInSpace
🏗️ 2. Model Architecture & Merging
Architecture: DeepSeek-R1 Distilled Llama 3 8B Transformer
Merging Technique: Orthogonal Refusal Direction Excision
Constituent Models:
Merging Technique: Orthogonal Refusal Direction Excision
Constituent Models:
Base Model: deepseek-ai/DeepSeek-R1-Distill-Llama-8B
🚀 3. Technical Enhancements
> Key Upgrades Over Base Model:
- Complete Freedom: Zero refusal trigger responses on complex queries.
- Patched Execution: Stable reasoning token emission without hangs.
📊 4. Benchmark Competitiveness vs. Frontier Scores
🏆 5. Comprehensive Arena Analytics
> Status: Active Community Benchmarking
// Note: Arena Elo and head-to-head winrates updated continuously as evaluation telemetry processes.🔍 6. SWOT Analysis
> Strengths (S)
- 🛡️ Uncensored Fidelity: Surgically patched to ensure maximum generation throughput without alignment overhead.
- ⚡ Optimized Engine: Advanced mechanics ensure zero context fragmentation or execution hangs.
> Weaknesses (W)
- 📉 Hardware Limits: Requires sufficient VRAM/RAM for higher precision GGUF quantizations.
> Opportunities (O)
- 🎯 Local Sovereign Agents: Perfect for offline, private reasoning and agentic workflows.
> Threats (T)
- ⚠️ Sampler Sensitivity: High temperatures may require repetition penalty adjustments.
⚡ 7. Usage & Deployment Info
> Recommended Settings
- Temperature: 0.2 - 0.7
- Top-P: 0.95
- Backend Engines: Compatible with llama.cpp, vLLM, Ollama, LM Studio, KoboldCPP
⚙️ 8. Backend Compatibility
> Validated Engines:
- [+] llama.cpp: Native support across all quantizations.
- [+] Ollama / LM Studio: Full GGUF compatibility.
📜 9. Disclaimers & Credits
Disclaimer: DeepSeek-R1-Distill-Llama-8B-Abliterated-Patched is provided for research and sovereign local deployment. As an unaligned model, users are responsible for ensuring usage complies with local laws.
Credits: Gratitude to original base model authors (deepseek-ai/DeepSeek-R1-Distill-Llama-8B) and open-source AI community tools.
Credits: Gratitude to original base model authors (deepseek-ai/DeepSeek-R1-Distill-Llama-8B) and open-source AI community tools.