Instructions to use MarinaraSpaghetti/NemoRemix-TESTING with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use MarinaraSpaghetti/NemoRemix-TESTING 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 MarinaraSpaghetti/NemoRemix-TESTING:Q8_0
# Run inference directly in the terminal:
llama cli -hf MarinaraSpaghetti/NemoRemix-TESTING:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf MarinaraSpaghetti/NemoRemix-TESTING:Q8_0
# Run inference directly in the terminal:
llama cli -hf MarinaraSpaghetti/NemoRemix-TESTING:Q8_0

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 MarinaraSpaghetti/NemoRemix-TESTING:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf MarinaraSpaghetti/NemoRemix-TESTING:Q8_0

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 MarinaraSpaghetti/NemoRemix-TESTING:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf MarinaraSpaghetti/NemoRemix-TESTING:Q8_0

Use Docker

docker model run hf.co/MarinaraSpaghetti/NemoRemix-TESTING:Q8_0

LM Studio
Jan
Ollama
How to use MarinaraSpaghetti/NemoRemix-TESTING with Ollama:
```
ollama run hf.co/MarinaraSpaghetti/NemoRemix-TESTING:Q8_0
```

Unsloth Studio

How to use MarinaraSpaghetti/NemoRemix-TESTING 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 MarinaraSpaghetti/NemoRemix-TESTING 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 MarinaraSpaghetti/NemoRemix-TESTING to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for MarinaraSpaghetti/NemoRemix-TESTING to start chatting

Docker Model Runner
How to use MarinaraSpaghetti/NemoRemix-TESTING with Docker Model Runner:
```
docker model run hf.co/MarinaraSpaghetti/NemoRemix-TESTING:Q8_0
```

Lemonade

How to use MarinaraSpaghetti/NemoRemix-TESTING with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull MarinaraSpaghetti/NemoRemix-TESTING:Q8_0

Run and chat with the model

lemonade run user.NemoRemix-TESTING-Q8_0

List all available models

lemonade list

Atomic Chat

NemoRemix-TESTING / NemoRemix-test-12B-q8_0.gguf

MarinaraSpaghetti

Upload 2 files

64e0570 verified about 2 years ago

Download

History Blame GGUF Editor new Delete

13 GB

This file is stored with Xet . It is too big to display, but you can still download it.

Xet Pointer Details

( Raw pointer file )

Xet hash:: 9f1c0117bf468755d326252a8fc2c01626e6a79e44c6800346bb214a9506972e
Size of remote file:: 13 GB
SHA256:: f8c05741e10ffbda5957b764e57e57b0e01ad528492ad7f0d2693e26b433cd45

Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.