Instructions to use MCZK/Llama-3-EZO-8b-Common-it-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use MCZK/Llama-3-EZO-8b-Common-it-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("MCZK/Llama-3-EZO-8b-Common-it-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use MCZK/Llama-3-EZO-8b-Common-it-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 MCZK/Llama-3-EZO-8b-Common-it-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf MCZK/Llama-3-EZO-8b-Common-it-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 MCZK/Llama-3-EZO-8b-Common-it-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf MCZK/Llama-3-EZO-8b-Common-it-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 MCZK/Llama-3-EZO-8b-Common-it-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf MCZK/Llama-3-EZO-8b-Common-it-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 MCZK/Llama-3-EZO-8b-Common-it-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf MCZK/Llama-3-EZO-8b-Common-it-GGUF:Q4_K_M

Use Docker

docker model run hf.co/MCZK/Llama-3-EZO-8b-Common-it-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use MCZK/Llama-3-EZO-8b-Common-it-GGUF with Ollama:
```
ollama run hf.co/MCZK/Llama-3-EZO-8b-Common-it-GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use MCZK/Llama-3-EZO-8b-Common-it-GGUF with Docker Model Runner:
```
docker model run hf.co/MCZK/Llama-3-EZO-8b-Common-it-GGUF:Q4_K_M
```

Lemonade

How to use MCZK/Llama-3-EZO-8b-Common-it-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull MCZK/Llama-3-EZO-8b-Common-it-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Llama-3-EZO-8b-Common-it-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

HODACHI様の Llama-3-EZO-8b-Common-it をGGUF形式に変換したものです。 K量子化モデルについてもiMatrix適用してあります。

iMatrixテキストはTFMC様のc4_en_ja_imatrix.txtを使用しています。

Downloads last month: 297

GGUF

Model size

8B params

Architecture

llama

Hardware compatibility

3-bit

4-bit

5-bit

6-bit

8-bit

16-bit

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

MCZK
/

Llama-3-EZO-8b-Common-it-GGUF

Space using MCZK/Llama-3-EZO-8b-Common-it-GGUF 1