- Libraries
- Transformers
How to use mradermacher/splade-code-06B-GGUF with Transformers:
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("mradermacher/splade-code-06B-GGUF", device_map="auto") - sentence-transformers
How to use mradermacher/splade-code-06B-GGUF with sentence-transformers:
from sentence_transformers import SparseEncoder
model = SparseEncoder("mradermacher/splade-code-06B-GGUF")
queries = ["Which planet is known as the Red Planet?"]
documents = [
"Venus is often called Earth's twin because of its similar size and proximity.",
"Mars, known for its reddish appearance, is often referred to as the Red Planet.",
"Jupiter, the largest planet in our solar system, has a prominent red spot.",
]
query_embeddings = model.encode_query(queries)
document_embeddings = model.encode_document(documents)
similarities = model.similarity(query_embeddings, document_embeddings)
print(similarities) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use mradermacher/splade-code-06B-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/splade-code-06B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mradermacher/splade-code-06B-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/splade-code-06B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mradermacher/splade-code-06B-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/splade-code-06B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf mradermacher/splade-code-06B-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/splade-code-06B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf mradermacher/splade-code-06B-GGUF:Q4_K_M
Use Docker
docker model run hf.co/mradermacher/splade-code-06B-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use mradermacher/splade-code-06B-GGUF with Ollama:
ollama run hf.co/mradermacher/splade-code-06B-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use mradermacher/splade-code-06B-GGUF with Docker Model Runner:
docker model run hf.co/mradermacher/splade-code-06B-GGUF:Q4_K_M
- Lemonade
How to use mradermacher/splade-code-06B-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/
lemonade pull mradermacher/splade-code-06B-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.splade-code-06B-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
