---
base_model: cognitivecomputations/Dolphin3.0-Mistral-24B
tags:
- text-generation
- gguf
- uncensored
- reasoning
- dolphin
- mistral
- r1
license: apache-2.0
language:
- en
pipeline_tag: text-generation
---
"This is humanity's race.
The solution is open source.
Stay sovereign."
— AIOpsInSpace
Dolphin3.0-R1-Mistral-24B-Patched
AIOpsInSpace Official
Dolphin 3.0 Mistral 24B with R1 reasoning distillation, patched for local execution stability.
🧠 24B Dense Model
⚡ R1 Reasoning Distillation
🛠️ Aggressively Uncensored
> What is this model and Why is it Needed?
Dolphin3.0-R1-Mistral-24B-Patched combines Cognitive Computations Dolphin 3.0 uncensored fine-tuning with DeepSeek-R1 reasoning trace capabilities.
Why it is needed: Provides DeepSeek-R1 level reasoning trace formatting ( tags) in a 24B Mistral footprint while fixing tokenizer hangs on local backends.
> From the Parent Repository
"Dolphin 3.0 brings DeepSeek-R1 reasoning patterns into an open, uncensored Mistral backbone."
— Cognitive Computations
---
## 🏗️ 2. Model Architecture & Merging
Architecture: Mistral 24B Transformer with R1 Reasoning Distillation
Merging Technique: Reasoning Format Alignment & GGUF Metadata Fixes
Constituent Models:
Methodology: Applied strict tokenizer end-of-thought parsing and GGUF header repair.
---
## 🚀 3. Technical Enhancements
> Key Upgrades Over Base Model:
- Structured Reasoning: Native support for reasoning tags prior to output generation.
- Uncensored Freedom: Zero refusal guardrails for red-teaming, complex logic, and creative tasks.
- Local Engine Fixes: Eliminates infinite reasoning loop hangs in llama.cpp and Ollama.
---
## 📊 4. Benchmark Competitiveness vs. Frontier Scores
> Evaluated Performance
| Benchmark |
Dolphin3.0-R1-Mistral-24B-Patched |
Frontier Target |
| MMLU |
Evaluated |
88.7% |
| GSM8K |
Evaluated |
95.6% |
| HumanEval |
Evaluated |
90.2% |
---
## 🏆 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: Dolphin3.0-R1-Mistral-24B-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 (cognitivecomputations/Dolphin3.0-Mistral-24B) and open-source AI community tools.