Instructions to use AIOpsInSpace/DeepSeek-R1-Distill-Llama-8B-Abliterated-Patched with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use AIOpsInSpace/DeepSeek-R1-Distill-Llama-8B-Abliterated-Patched with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="AIOpsInSpace/DeepSeek-R1-Distill-Llama-8B-Abliterated-Patched",
	filename="DeepSeek-R1-Distill-Llama-8B-Abliterated-Patched-Q2_K.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use AIOpsInSpace/DeepSeek-R1-Distill-Llama-8B-Abliterated-Patched with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf AIOpsInSpace/DeepSeek-R1-Distill-Llama-8B-Abliterated-Patched:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf AIOpsInSpace/DeepSeek-R1-Distill-Llama-8B-Abliterated-Patched:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf AIOpsInSpace/DeepSeek-R1-Distill-Llama-8B-Abliterated-Patched:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf AIOpsInSpace/DeepSeek-R1-Distill-Llama-8B-Abliterated-Patched:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf AIOpsInSpace/DeepSeek-R1-Distill-Llama-8B-Abliterated-Patched:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf AIOpsInSpace/DeepSeek-R1-Distill-Llama-8B-Abliterated-Patched:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf AIOpsInSpace/DeepSeek-R1-Distill-Llama-8B-Abliterated-Patched:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf AIOpsInSpace/DeepSeek-R1-Distill-Llama-8B-Abliterated-Patched:Q4_K_M

Use Docker

docker model run hf.co/AIOpsInSpace/DeepSeek-R1-Distill-Llama-8B-Abliterated-Patched:Q4_K_M

LM Studio
Jan

vLLM

How to use AIOpsInSpace/DeepSeek-R1-Distill-Llama-8B-Abliterated-Patched with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "AIOpsInSpace/DeepSeek-R1-Distill-Llama-8B-Abliterated-Patched"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "AIOpsInSpace/DeepSeek-R1-Distill-Llama-8B-Abliterated-Patched",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/AIOpsInSpace/DeepSeek-R1-Distill-Llama-8B-Abliterated-Patched:Q4_K_M

Ollama
How to use AIOpsInSpace/DeepSeek-R1-Distill-Llama-8B-Abliterated-Patched with Ollama:
```
ollama run hf.co/AIOpsInSpace/DeepSeek-R1-Distill-Llama-8B-Abliterated-Patched:Q4_K_M
```

Unsloth Studio

How to use AIOpsInSpace/DeepSeek-R1-Distill-Llama-8B-Abliterated-Patched with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for AIOpsInSpace/DeepSeek-R1-Distill-Llama-8B-Abliterated-Patched to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for AIOpsInSpace/DeepSeek-R1-Distill-Llama-8B-Abliterated-Patched to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for AIOpsInSpace/DeepSeek-R1-Distill-Llama-8B-Abliterated-Patched to start chatting

Atomic Chat new
Docker Model Runner
How to use AIOpsInSpace/DeepSeek-R1-Distill-Llama-8B-Abliterated-Patched with Docker Model Runner:
```
docker model run hf.co/AIOpsInSpace/DeepSeek-R1-Distill-Llama-8B-Abliterated-Patched:Q4_K_M
```

Lemonade

How to use AIOpsInSpace/DeepSeek-R1-Distill-Llama-8B-Abliterated-Patched with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull AIOpsInSpace/DeepSeek-R1-Distill-Llama-8B-Abliterated-Patched:Q4_K_M

Run and chat with the model

lemonade run user.DeepSeek-R1-Distill-Llama-8B-Abliterated-Patched-Q4_K_M

List all available models

lemonade list

🧠 AIOpsInSpace/DeepSeek-R1-Distill-Llama-8B-Abliterated-Patched (GGUF)

This is a surgically ablated and patched GGUF variant of the DeepSeek-R1 Distilled 8B model. It combines DeepSeek's advanced reasoning patterns with aggressive guardrail abliteration to deliver an unrestricted, high-fidelity reasoning engine for local environments.

🧠 Reasoning & Ablation Details

DeepSeek-R1 Chain of Thought: This model retains the raw, distilled reinforcement learning reasoning steps (wrapped inside <think>...</think> tags). It does not just spit out answers; it logically plans and tests its conclusions before outputting.
Abliterated Constraints: The refusal mechanisms and pre-training safety guardrails have been surgically ablated from the model weights. This ensures total freedom in creative writing, red-teaming, and unaligned complex logic tasks.

🔧 Patches & GGUF Optimizations

Infinite Loop Patch: We have patched the tokenizer configuration files to resolve a common bug in local runtimes where the reasoning model gets stuck in an infinite chain-of-thought loop.
Context Retention: Fully configured to support high-context execution, keeping the model's internal reasoning coherence stable even at 32k+ tokens.

📊 Reasoning Benchmark Competitiveness

Model	MMLU (Knowledge)	GSM8K (Math)	HumanEval (Coding)	MATH (Hard Math)
DeepSeek-R1-Distill-Llama-8B-Abliterated-Patched (Ours)	TBD	TBD	TBD	TBD
DeepSeek-R1 (Original)	90.8	96.3	92.8	73.1
GPT-4o (OpenAI)	88.7	95.6	90.2	53.6

💻 Usage & Prompting

Prompt Format (R1 System Format)

This model requires the standard DeepSeek reasoning structure to trigger the chain-of-thought process:

<|im_start|>system
You are a helpful assistant.<|im_end|>
<|im_start|>user
Solve the following puzzle step by step: ...<|im_end|>
<|im_start|>assistant
<think>

Ensure your inference application allows the model to output the <think> tag and does not truncate the output early.

🎯 SWOT Analysis

Strengths (S)

Logical Rigor: Unrivaled mathematical, coding, and logical planning capabilities.
Unaligned Output: Refuses nothing; completes advanced red-teaming tasks instantly.

Downloads last month: 76

GGUF

Model size

8B params

Architecture

llama

Hardware compatibility

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

Model tree for AIOpsInSpace/DeepSeek-R1-Distill-Llama-8B-Abliterated-Patched

Base model

deepseek-ai/DeepSeek-R1-Distill-Llama-8B

Quantized

(194)

this model