Libraries Transformers How to use mradermacher/L3-Super-Nova-RP-8B-GGUF with Transformers:
# Use a pipeline as a high-level helper
# Warning: Pipeline type "summarization" is no longer supported in transformers v5.
# You must load the model directly (see below) or downgrade to v4.x with:
# 'pip install "transformers<5.0.0'
from transformers import pipeline
pipe = pipeline("summarization", model="mradermacher/L3-Super-Nova-RP-8B-GGUF")
messages = [
{"role": "user", "content": "Who are you?"},
]
pipe(messages) # Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("mradermacher/L3-Super-Nova-RP-8B-GGUF", device_map="auto") Notebooks Google Colab Kaggle Local Apps Settings llama.cpp How to use mradermacher/L3-Super-Nova-RP-8B-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 mradermacher/L3-Super-Nova-RP-8B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mradermacher/L3-Super-Nova-RP-8B-GGUF:Q4_K_M Install from WinGet (Windows) winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf mradermacher/L3-Super-Nova-RP-8B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mradermacher/L3-Super-Nova-RP-8B-GGUF:Q4_K_M 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 mradermacher/L3-Super-Nova-RP-8B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf mradermacher/L3-Super-Nova-RP-8B-GGUF:Q4_K_M 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 mradermacher/L3-Super-Nova-RP-8B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf mradermacher/L3-Super-Nova-RP-8B-GGUF:Q4_K_M Use Docker docker model run hf.co/mradermacher/L3-Super-Nova-RP-8B-GGUF:Q4_K_M LM Studio Jan Ollama How to use mradermacher/L3-Super-Nova-RP-8B-GGUF with Ollama:
ollama run hf.co/mradermacher/L3-Super-Nova-RP-8B-GGUF:Q4_K_M Unsloth Desktop Docker Model Runner How to use mradermacher/L3-Super-Nova-RP-8B-GGUF with Docker Model Runner:
docker model run hf.co/mradermacher/L3-Super-Nova-RP-8B-GGUF:Q4_K_M Lemonade How to use mradermacher/L3-Super-Nova-RP-8B-GGUF with Lemonade:
Pull the model # Download Lemonade from https://lemonade-server.ai/
lemonade pull mradermacher/L3-Super-Nova-RP-8B-GGUF:Q4_K_M Run and chat with the model lemonade run user.L3-Super-Nova-RP-8B-GGUF-Q4_K_M List all available models lemonade list Atomic Chat 
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="mradermacher/L3-Super-Nova-RP-8B-GGUF") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)