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

Libraries

How to use LeroyDyer/LCARS_AI_QstaR_Nemo_GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("LeroyDyer/LCARS_AI_QstaR_Nemo_GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use LeroyDyer/LCARS_AI_QstaR_Nemo_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 LeroyDyer/LCARS_AI_QstaR_Nemo_GGUF:BF16
# Run inference directly in the terminal:
llama cli -hf LeroyDyer/LCARS_AI_QstaR_Nemo_GGUF:BF16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf LeroyDyer/LCARS_AI_QstaR_Nemo_GGUF:BF16
# Run inference directly in the terminal:
llama cli -hf LeroyDyer/LCARS_AI_QstaR_Nemo_GGUF:BF16

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 LeroyDyer/LCARS_AI_QstaR_Nemo_GGUF:BF16
# Run inference directly in the terminal:
./llama-cli -hf LeroyDyer/LCARS_AI_QstaR_Nemo_GGUF:BF16

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 LeroyDyer/LCARS_AI_QstaR_Nemo_GGUF:BF16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf LeroyDyer/LCARS_AI_QstaR_Nemo_GGUF:BF16

Use Docker

docker model run hf.co/LeroyDyer/LCARS_AI_QstaR_Nemo_GGUF:BF16

LM Studio
Jan
Ollama
How to use LeroyDyer/LCARS_AI_QstaR_Nemo_GGUF with Ollama:
```
ollama run hf.co/LeroyDyer/LCARS_AI_QstaR_Nemo_GGUF:BF16
```

Unsloth Studio

How to use LeroyDyer/LCARS_AI_QstaR_Nemo_GGUF 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 LeroyDyer/LCARS_AI_QstaR_Nemo_GGUF 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 LeroyDyer/LCARS_AI_QstaR_Nemo_GGUF to start chatting

Using HuggingFace Spaces for Unsloth

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

Docker Model Runner
How to use LeroyDyer/LCARS_AI_QstaR_Nemo_GGUF with Docker Model Runner:
```
docker model run hf.co/LeroyDyer/LCARS_AI_QstaR_Nemo_GGUF:BF16
```

Lemonade

How to use LeroyDyer/LCARS_AI_QstaR_Nemo_GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull LeroyDyer/LCARS_AI_QstaR_Nemo_GGUF:BF16

Run and chat with the model

lemonade run user.LCARS_AI_QstaR_Nemo_GGUF-BF16

List all available models

lemonade list

Atomic Chat

New discussion

Resources

View closed (0)

Welcome to the community

The community tab is the place to discuss and collaborate with the HF community!