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

Libraries

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

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="PartAI/Dorna-Llama3-8B-Instruct")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("PartAI/Dorna-Llama3-8B-Instruct")
model = AutoModelForCausalLM.from_pretrained("PartAI/Dorna-Llama3-8B-Instruct")
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

vLLM

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

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "PartAI/Dorna-Llama3-8B-Instruct"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "PartAI/Dorna-Llama3-8B-Instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

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

SGLang

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

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "PartAI/Dorna-Llama3-8B-Instruct" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "PartAI/Dorna-Llama3-8B-Instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "PartAI/Dorna-Llama3-8B-Instruct" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "PartAI/Dorna-Llama3-8B-Instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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

The tokenizer `PartAI/Dorna-Llama3-8B-Instruct` does not have a {% if add_generation_prompt %} for generation purposes.

#14

by shaghayeghnajari - opened Jun 3, 2025

Discussion

shaghayeghnajari

Jun 3, 2025

code:

shaghayeghnajari

Jun 3, 2025

code: !pip install unsloth

Get latest Unsloth

!pip install --upgrade --no-deps "unsloth[colab-new] @ git+https://github.com/unslothai/unsloth.git"

from unsloth import FastLanguageModel

import torch
max_seq_length = 2048 # Choose any! We auto support RoPE Scaling internally!
dtype = None # None for auto detection. Float16 for Tesla T4, V100, Bfloat16 for Ampere+
load_in_4bit = True # Use 4bit quantization to reduce memory usage. Can be False.
model, tokenizer = FastLanguageModel.from_pretrained(
model_name = "PartAI/Dorna-Llama3-8B-Instruct",
max_seq_length = max_seq_length,
dtype = dtype,
load_in_4bit = load_in_4bit,
token = "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", # use one if using gated models like meta-llama/Llama-2-7b-hf
)
Error: RuntimeError: Unsloth: The tokenizer PartAI/Dorna-Llama3-8B-Instruct
does not have a {% if add_generation_prompt %} for generation purposes.
Please file a bug report to the maintainers of PartAI/Dorna-Llama3-8B-Instruct - thanks!

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