Instructions to use MaziyarPanahi/Llama-3-8B-Instruct-64k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use MaziyarPanahi/Llama-3-8B-Instruct-64k with Transformers:

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

pipe = pipeline("text-generation", model="MaziyarPanahi/Llama-3-8B-Instruct-64k")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("MaziyarPanahi/Llama-3-8B-Instruct-64k")
model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/Llama-3-8B-Instruct-64k", 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=256)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use MaziyarPanahi/Llama-3-8B-Instruct-64k with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "MaziyarPanahi/Llama-3-8B-Instruct-64k"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "MaziyarPanahi/Llama-3-8B-Instruct-64k",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/MaziyarPanahi/Llama-3-8B-Instruct-64k

SGLang

How to use MaziyarPanahi/Llama-3-8B-Instruct-64k 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 "MaziyarPanahi/Llama-3-8B-Instruct-64k" \
    --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": "MaziyarPanahi/Llama-3-8B-Instruct-64k",
		"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 "MaziyarPanahi/Llama-3-8B-Instruct-64k" \
        --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": "MaziyarPanahi/Llama-3-8B-Instruct-64k",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use MaziyarPanahi/Llama-3-8B-Instruct-64k with Docker Model Runner:
```
docker model run hf.co/MaziyarPanahi/Llama-3-8B-Instruct-64k
```

Upload folder using huggingface_hub

by MaziyarPanahi - opened Apr 25, 2024

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

+412979

-0

MaziyarPanahi

Owner Apr 25, 2024

•

edited Apr 25, 2024

Upload folder using huggingface_hub

Multi commit ID: d7d07a2562c1a6429917024960577216976cd3247e66d2631a2edf5042f546d9

Scheduled commits:

Upload 1 file(s) totalling 5.0G (499525ed87f481707dd47c1fc8ca5236a14ff14ecda88998eb2143888a80e74b)
Upload 1 file(s) totalling 5.0G (c5e6651f2a12651b19ae9bfd956abe3d8c9406583408f7d134d530aa6955301e)
Upload 1 file(s) totalling 4.9G (f61f2f96b36eb12944a54dacc0a85ae694b0232715f909d03366faf2d94cb8fc)
Upload 7 file(s) totalling 1.2G (2fc4624fcda5876a9e3cc33c80ad385f8b1b544a5db59d0e240308ce015d153d)

This is a PR opened using the huggingface_hub library in the context of a multi-commit. PR can be commented as a usual PR. However, please be aware that manually updating the PR description, changing the PR status, or pushing new commits, is not recommended as it might corrupt the commit process. Learn more about multi-commits in this guide.

499525ed87f481707dd47c1fc8ca5236a14ff14ecda88998eb2143888a80e74bb39972a2

c5e6651f2a12651b19ae9bfd956abe3d8c9406583408f7d134d530aa6955301e5da2bff3

f61f2f96b36eb12944a54dacc0a85ae694b0232715f909d03366faf2d94cb8fc6697b07b

2fc4624fcda5876a9e3cc33c80ad385f8b1b544a5db59d0e240308ce015d153dfb452017

MaziyarPanahi changed pull request title from [WIP] Upload folder using huggingface_hub (multi-commit d7d07a2562c1a6429917024960577216976cd3247e66d2631a2edf5042f546d9) to Upload folder using huggingface_hub Apr 25, 2024

MaziyarPanahi

Owner Apr 25, 2024

Multi-commit is now completed! You can ping the repo owner to review the changes. This PR can now be commented or modified without risking to corrupt it.

This is a comment posted using the huggingface_hub library in the context of a multi-commit. Learn more about multi-commits in this guide.

MaziyarPanahi changed pull request status to open Apr 25, 2024

MaziyarPanahi

Owner Apr 25, 2024

create_pr=False has been passed so PR is automatically merged.

This is a comment posted using the huggingface_hub library in the context of a multi-commit. Learn more about multi-commits in this guide.

MaziyarPanahi changed pull request status to merged Apr 25, 2024

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