Instructions to use stacklok/CodeLlama-7b-hf-codegate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use stacklok/CodeLlama-7b-hf-codegate with Transformers:

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("stacklok/CodeLlama-7b-hf-codegate", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use stacklok/CodeLlama-7b-hf-codegate 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 stacklok/CodeLlama-7b-hf-codegate:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf stacklok/CodeLlama-7b-hf-codegate:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf stacklok/CodeLlama-7b-hf-codegate:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf stacklok/CodeLlama-7b-hf-codegate: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 stacklok/CodeLlama-7b-hf-codegate:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf stacklok/CodeLlama-7b-hf-codegate: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 stacklok/CodeLlama-7b-hf-codegate:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf stacklok/CodeLlama-7b-hf-codegate:Q4_K_M

Use Docker

docker model run hf.co/stacklok/CodeLlama-7b-hf-codegate:Q4_K_M

Llama new
LM Studio
Jan
Ollama
How to use stacklok/CodeLlama-7b-hf-codegate with Ollama:
```
ollama run hf.co/stacklok/CodeLlama-7b-hf-codegate:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use stacklok/CodeLlama-7b-hf-codegate with Docker Model Runner:
```
docker model run hf.co/stacklok/CodeLlama-7b-hf-codegate:Q4_K_M
```

Lemonade

How to use stacklok/CodeLlama-7b-hf-codegate with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull stacklok/CodeLlama-7b-hf-codegate:Q4_K_M

Run and chat with the model

lemonade run user.CodeLlama-7b-hf-codegate-Q4_K_M

List all available models

lemonade list

Atomic Chat

CodeLlama-7b-hf-codegate / codellama--CodeLlama-7b-hf--codegate.gguf

Commit History

Feb 4, 2025

20:45
Add ./test_run_output/codellama--CodeLlama-7b-hf--codegate.gguf

ptelang

Verified signature
317e888

Commit History

Feb 4, 2025

Add ./test_run_output/codellama--CodeLlama-7b-hf--codegate.gguf