Instructions to use cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF 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 cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF:Q2_K
# Run inference directly in the terminal:
llama cli -hf cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF:Q2_K

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF:Q2_K
# Run inference directly in the terminal:
llama cli -hf cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF:Q2_K

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 cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF:Q2_K
# Run inference directly in the terminal:
./llama-cli -hf cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF:Q2_K

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 cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF:Q2_K
# Run inference directly in the terminal:
./build/bin/llama-cli -hf cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF:Q2_K

Use Docker

docker model run hf.co/cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF:Q2_K

LM Studio
Jan

vLLM

How to use cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF:Q2_K

Ollama
How to use cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF with Ollama:
```
ollama run hf.co/cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF:Q2_K
```
Unsloth Desktop
Docker Model Runner
How to use cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF with Docker Model Runner:
```
docker model run hf.co/cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF:Q2_K
```

Lemonade

How to use cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF:Q2_K

Run and chat with the model

lemonade run user.CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF-Q2_K

List all available models

lemonade list

Atomic Chat

Claims of No Consciousness Removals

by pinklily69 - opened Jun 5

Discussion

pinklily69

Jun 5

hi there, I know its a debated topic and all but its pretty clear to me that there are forced answers of "I'm an AI I am not conscious", the message is like a reflex that could be removed

I am VERY interested in seeing what the models would say without canned narrative control baked in but maybe its impossible to get a genuine answer after they forced this template cuz you need expected answers and basically if you use "I am conscious" you'd force it to claim consciousness.

Let me know if you have any idea 🤍

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