Instructions to use goodasdgood/dd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use goodasdgood/dd with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="goodasdgood/dd",
	filename="content-00001-of-00006.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use goodasdgood/dd with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf goodasdgood/dd
# Run inference directly in the terminal:
llama-cli -hf goodasdgood/dd

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf goodasdgood/dd
# Run inference directly in the terminal:
llama-cli -hf goodasdgood/dd

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 goodasdgood/dd
# Run inference directly in the terminal:
./llama-cli -hf goodasdgood/dd

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 goodasdgood/dd
# Run inference directly in the terminal:
./build/bin/llama-cli -hf goodasdgood/dd

Use Docker

docker model run hf.co/goodasdgood/dd

LM Studio
Jan
Ollama
How to use goodasdgood/dd with Ollama:
```
ollama run hf.co/goodasdgood/dd
```

Unsloth Studio new

How to use goodasdgood/dd 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 goodasdgood/dd 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 goodasdgood/dd to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for goodasdgood/dd to start chatting

Docker Model Runner
How to use goodasdgood/dd with Docker Model Runner:
```
docker model run hf.co/goodasdgood/dd
```

Lemonade

How to use goodasdgood/dd with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull goodasdgood/dd

Run and chat with the model

lemonade run user.dd-{{QUANT_TAG}}

List all available models

lemonade list

bartowski/DeepSeek-V2.5-GGUF

to colab

merge to one part

split 6 part

to huggingface

Downloads last month: 12

GGUF

Model size

236B params

Architecture

deepseek2

Hardware compatibility

We're not able to determine the quantization variants.

View all variants

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support