Instructions to use PartAI/Dorna-Llama3-8B-Instruct-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use PartAI/Dorna-Llama3-8B-Instruct-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("PartAI/Dorna-Llama3-8B-Instruct-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use PartAI/Dorna-Llama3-8B-Instruct-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 PartAI/Dorna-Llama3-8B-Instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf PartAI/Dorna-Llama3-8B-Instruct-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 PartAI/Dorna-Llama3-8B-Instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf PartAI/Dorna-Llama3-8B-Instruct-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 PartAI/Dorna-Llama3-8B-Instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf PartAI/Dorna-Llama3-8B-Instruct-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 PartAI/Dorna-Llama3-8B-Instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf PartAI/Dorna-Llama3-8B-Instruct-GGUF:Q4_K_M

Use Docker

docker model run hf.co/PartAI/Dorna-Llama3-8B-Instruct-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use PartAI/Dorna-Llama3-8B-Instruct-GGUF with Ollama:
```
ollama run hf.co/PartAI/Dorna-Llama3-8B-Instruct-GGUF:Q4_K_M
```

Unsloth Studio

How to use PartAI/Dorna-Llama3-8B-Instruct-GGUF with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for PartAI/Dorna-Llama3-8B-Instruct-GGUF to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for PartAI/Dorna-Llama3-8B-Instruct-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for PartAI/Dorna-Llama3-8B-Instruct-GGUF to start chatting

Docker Model Runner
How to use PartAI/Dorna-Llama3-8B-Instruct-GGUF with Docker Model Runner:
```
docker model run hf.co/PartAI/Dorna-Llama3-8B-Instruct-GGUF:Q4_K_M
```

Lemonade

How to use PartAI/Dorna-Llama3-8B-Instruct-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull PartAI/Dorna-Llama3-8B-Instruct-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Dorna-Llama3-8B-Instruct-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

How to transform our Llama object to GPU

by arshiahemmat - opened Jul 21, 2024

Discussion

arshiahemmat

Jul 21, 2024

Hey Guys!

Thanks for your amazing implementation!
I wanna transform my model to the GPU but neither ".to(cuda)" nor "device = cuda" are not working (I could run it on CPU)!

from llama_cpp import Llama

llm = Llama(
model_path="Dorna-Llama3-8B-Instruct-GGUF/dorna-llama3-8b-instruct.Q8_0.gguf",
chat_format="llama-3",
n_gpu_layers=-1,
n_ctx=2048,
)

So, could you please give me some tips on properly doing this task?

Thanks for your effort and time!

smasadifar

Aug 7, 2024

•

edited Aug 7, 2024

Hello friends
I have the same problem as above (arshiahemmat comment), my code does not run with GPU, so the response time is high.
Please reply to this comment.

MiladMola

Part DP AI org Nov 25, 2024

Hi!
Please check this https://github.com/abetlen/llama-cpp-python/issues/576
You can use ollama (https://ollama.com/).

mohalisad changed discussion status to closed Nov 25, 2024

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