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

The model is working okay! (Temporary fix for stop token being ignored)

by phakio - opened May 6

Discussion

phakio

May 6

A little slow I'm just testing CPU only right now, about 8 t/s generation but I'm not complaining about that!

I noticed that this GGUF, and a few other I tested would continue generation, stop token was ignored. I'm sharing my launch script to show one that is known working... " -r "<|im_end|>" " seems to prevent the model from over-generating.

I wouldn't say the backend or this quant are ready for prime time agentic tasks, but for testing and chatting it's fun to play with! Thanks. Sometimes it just replies in gibberish, or Chinese even though inquiry was English. I like its little quirks lol

/home/phone/llama.cpp-deepseek-v4-flash/build/bin/llama-server \
    --model /run/media/phone/SharedData/LocalModelsBIG/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF/cyberneurova-DeepSeek-V4-Flash-abliterated.gguf \
    --alias cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF \
    --ctx-size 10000 \
    -ctk q8_0 \
    -ngl 99 \
    --parallel 1 \
    --threads 48 \
    --threads-batch 56 \
    --host 0.0.0.0 \
    --port 8081 \
    --no-mmap \
    -r "<|im_end|>"

phakio changed discussion title from The model is working okay! to The model is working okay! (Temporary fix for stop token being ignored) May 6

pixillated

cyberneurova org May 6

hey this model is a q2 model we just uploaded 2 new versions q2 and q8 check them out

KnotSchure

May 7

Not able to download the Q8 version... Q2 link works, but is not suitable for my needs.

phakio

May 8

@pixillated thanks for the model refresh, when I'm back home in a few days I'll give them a try!

phakio changed discussion status to closed May 8

KnotSchure

May 8

400 bad request still.

KnotSchure

May 8

Hello?

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