Instructions to use addychen2/saseucmai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use addychen2/saseucmai with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="addychen2/saseucmai",
	filename="model.gguf",
)

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

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use addychen2/saseucmai 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 addychen2/saseucmai
# Run inference directly in the terminal:
llama cli -hf addychen2/saseucmai

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf addychen2/saseucmai
# Run inference directly in the terminal:
llama cli -hf addychen2/saseucmai

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 addychen2/saseucmai
# Run inference directly in the terminal:
./llama-cli -hf addychen2/saseucmai

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 addychen2/saseucmai
# Run inference directly in the terminal:
./build/bin/llama-cli -hf addychen2/saseucmai

Use Docker

docker model run hf.co/addychen2/saseucmai

LM Studio
Jan
Ollama
How to use addychen2/saseucmai with Ollama:
```
ollama run hf.co/addychen2/saseucmai
```

Unsloth Studio

How to use addychen2/saseucmai 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 addychen2/saseucmai 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 addychen2/saseucmai to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for addychen2/saseucmai to start chatting

Atomic Chat new
Docker Model Runner
How to use addychen2/saseucmai with Docker Model Runner:
```
docker model run hf.co/addychen2/saseucmai
```

Lemonade

How to use addychen2/saseucmai with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull addychen2/saseucmai

Run and chat with the model

lemonade run user.saseucmai-{{QUANT_TAG}}

List all available models

lemonade list

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

DeepSeek Base Model in GGUF Format

This is the base DeepSeek 1.5B model converted to GGUF format for efficient inference.

Model Details

Base model: DeepSeek 1.5B
Quantization: Q8_0
Format: GGUF

Usage

This model can be used with llama.cpp and other GGUF-compatible inference engines.

Original Model

This model was converted from deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B.

Downloads last month: 12

GGUF

Model size

2B params

Architecture

qwen2

Hardware compatibility

We're not able to determine the quantization variants.

View all variants

Inference Providers NEW

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