Instructions to use mradermacher/CodeLlama-13b-Python-hf-i1-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mradermacher/CodeLlama-13b-Python-hf-i1-GGUF with Transformers:

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("mradermacher/CodeLlama-13b-Python-hf-i1-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use mradermacher/CodeLlama-13b-Python-hf-i1-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/CodeLlama-13b-Python-hf-i1-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mradermacher/CodeLlama-13b-Python-hf-i1-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/CodeLlama-13b-Python-hf-i1-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mradermacher/CodeLlama-13b-Python-hf-i1-GGUF:Q4_K_M

Build from source code

git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf mradermacher/CodeLlama-13b-Python-hf-i1-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama cli -hf mradermacher/CodeLlama-13b-Python-hf-i1-GGUF:Q4_K_M

Use Docker

docker model run hf.co/mradermacher/CodeLlama-13b-Python-hf-i1-GGUF:Q4_K_M

Llama new
LM Studio
Jan
Ollama
How to use mradermacher/CodeLlama-13b-Python-hf-i1-GGUF with Ollama:
```
ollama run hf.co/mradermacher/CodeLlama-13b-Python-hf-i1-GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use mradermacher/CodeLlama-13b-Python-hf-i1-GGUF with Docker Model Runner:
```
docker model run hf.co/mradermacher/CodeLlama-13b-Python-hf-i1-GGUF:Q4_K_M
```

Lemonade

How to use mradermacher/CodeLlama-13b-Python-hf-i1-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull mradermacher/CodeLlama-13b-Python-hf-i1-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.CodeLlama-13b-Python-hf-i1-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

CodeLlama-13b-Python-hf-i1-GGUF / CodeLlama-13b-Python-hf.i1-Q2_K.gguf

mradermacher

uploaded from nethype/db2

de79047 verified about 2 years ago

Download CodeLlama-13b-Python-hf.i1-Q2_K.gguf from mradermacher/CodeLlama-13b-Python-hf-i1-GGUF: direct link, hf CLI and curl.

Browser
Download file 4.85 GB

https://huggingface.co/mradermacher/CodeLlama-13b-Python-hf-i1-GGUF/resolve/b343aa0c8cfad353e0c7f0f583be72ae88f04bb4/CodeLlama-13b-Python-hf.i1-Q2_K.gguf

Command line

hf download hf://mradermacher/CodeLlama-13b-Python-hf-i1-GGUF@b343aa0c8cfad353e0c7f0f583be72ae88f04bb4/CodeLlama-13b-Python-hf.i1-Q2_K.gguf

curl -L -o CodeLlama-13b-Python-hf.i1-Q2_K.gguf https://huggingface.co/mradermacher/CodeLlama-13b-Python-hf-i1-GGUF/resolve/b343aa0c8cfad353e0c7f0f583be72ae88f04bb4/CodeLlama-13b-Python-hf.i1-Q2_K.gguf

History Blame

4.85 GB

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Size of remote file:: 4.85 GB
SHA256:: 66b1be887ae9a40a141650938089cd75a38203973f74f43b6b90b4edb37c70e6

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