- Libraries
- Transformers
How to use kingabzpro/Llama-3-8B-ORPO with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="kingabzpro/Llama-3-8B-ORPO")
messages = [
{"role": "user", "content": "Who are you?"},
]
pipe(messages) # Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("kingabzpro/Llama-3-8B-ORPO")
model = AutoModelForCausalLM.from_pretrained("kingabzpro/Llama-3-8B-ORPO", device_map="auto")
messages = [
{"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
messages,
add_generation_prompt=True,
tokenize=True,
return_dict=True,
return_tensors="pt",
).to(model.device)
outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use kingabzpro/Llama-3-8B-ORPO 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 kingabzpro/Llama-3-8B-ORPO:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf kingabzpro/Llama-3-8B-ORPO:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf kingabzpro/Llama-3-8B-ORPO:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf kingabzpro/Llama-3-8B-ORPO: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 kingabzpro/Llama-3-8B-ORPO:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf kingabzpro/Llama-3-8B-ORPO: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 kingabzpro/Llama-3-8B-ORPO:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf kingabzpro/Llama-3-8B-ORPO:Q4_K_M
Use Docker
docker model run hf.co/kingabzpro/Llama-3-8B-ORPO:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use kingabzpro/Llama-3-8B-ORPO with Ollama:
ollama run hf.co/kingabzpro/Llama-3-8B-ORPO:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use kingabzpro/Llama-3-8B-ORPO with Docker Model Runner:
docker model run hf.co/kingabzpro/Llama-3-8B-ORPO:Q4_K_M
- Lemonade
How to use kingabzpro/Llama-3-8B-ORPO with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/
lemonade pull kingabzpro/Llama-3-8B-ORPO:Q4_K_M
Run and chat with the model
lemonade run user.Llama-3-8B-ORPO-Q4_K_M
List all available models
lemonade list
- Atomic Chat
