Instructions to use devisri050/stable-code-3b-Q4_K_S-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devisri050/stable-code-3b-Q4_K_S-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("devisri050/stable-code-3b-Q4_K_S-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use devisri050/stable-code-3b-Q4_K_S-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 devisri050/stable-code-3b-Q4_K_S-GGUF:Q4_K_S # Run inference directly in the terminal: llama cli -hf devisri050/stable-code-3b-Q4_K_S-GGUF:Q4_K_S
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf devisri050/stable-code-3b-Q4_K_S-GGUF:Q4_K_S # Run inference directly in the terminal: llama cli -hf devisri050/stable-code-3b-Q4_K_S-GGUF:Q4_K_S
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 devisri050/stable-code-3b-Q4_K_S-GGUF:Q4_K_S # Run inference directly in the terminal: ./llama-cli -hf devisri050/stable-code-3b-Q4_K_S-GGUF:Q4_K_S
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 devisri050/stable-code-3b-Q4_K_S-GGUF:Q4_K_S # Run inference directly in the terminal: ./build/bin/llama-cli -hf devisri050/stable-code-3b-Q4_K_S-GGUF:Q4_K_S
Use Docker
docker model run hf.co/devisri050/stable-code-3b-Q4_K_S-GGUF:Q4_K_S
- LM Studio
- Jan
- Ollama
How to use devisri050/stable-code-3b-Q4_K_S-GGUF with Ollama:
ollama run hf.co/devisri050/stable-code-3b-Q4_K_S-GGUF:Q4_K_S
- Unsloth Desktop
- Docker Model Runner
How to use devisri050/stable-code-3b-Q4_K_S-GGUF with Docker Model Runner:
docker model run hf.co/devisri050/stable-code-3b-Q4_K_S-GGUF:Q4_K_S
- Lemonade
How to use devisri050/stable-code-3b-Q4_K_S-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull devisri050/stable-code-3b-Q4_K_S-GGUF:Q4_K_S
Run and chat with the model
lemonade run user.stable-code-3b-Q4_K_S-GGUF-Q4_K_S
List all available models
lemonade list
- Atomic Chat
- Xet hash:
- 1a09017147078ca2db918c719c66804e5a52a5306d854e5eb55e6c82caf5d6e7
- Size of remote file:
- 1.62 GB
- SHA256:
- 831ed3a853a885ae39d0795f0ad5de43ed58a42b50f118ea39deded37ede3dc9
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