Instructions to use meta-llama/Meta-Llama-3-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use meta-llama/Meta-Llama-3-8B with Transformers:

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

pipe = pipeline("text-generation", model="meta-llama/Meta-Llama-3-8B")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("meta-llama/Meta-Llama-3-8B")
model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B", device_map="auto")

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use meta-llama/Meta-Llama-3-8B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "meta-llama/Meta-Llama-3-8B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "meta-llama/Meta-Llama-3-8B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/meta-llama/Meta-Llama-3-8B

SGLang

How to use meta-llama/Meta-Llama-3-8B 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 "meta-llama/Meta-Llama-3-8B" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "meta-llama/Meta-Llama-3-8B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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 "meta-llama/Meta-Llama-3-8B" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "meta-llama/Meta-Llama-3-8B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use meta-llama/Meta-Llama-3-8B with Docker Model Runner:
```
docker model run hf.co/meta-llama/Meta-Llama-3-8B
```

Your request to access this repo has been rejected by the repo's authors

#87

by hm666 - opened Apr 27, 2024

Discussion

hm666

Apr 27, 2024

Hello!
I got the answer "Your request to access this repo has been rejected by the repo's authors" on huggingface,because I write wrong e-mail in the question.
My huggingface username is hm666.
Could you help me to quash my request.
Thanks.

SparkMao

Apr 28, 2024

The same as you. I have no idea why :(

HLearning

Apr 28, 2024

This comment has been hidden

Chen94yue

Apr 28, 2024

The same as you. I have no idea why :(

tdh87

Apr 28, 2024

just use this - NousResearch/Meta-Llama-3-8B

huggingss

Apr 29, 2024

The same as you. I have no idea why :(

coldmoon

Apr 29, 2024

same ...

deleted

Apr 29, 2024

same

XiaoqiHan

Apr 29, 2024

The same as you. I have no idea why :(

wuqihang

Apr 29, 2024

The same as you. I have no idea why :(

Alemax067

Apr 29, 2024

The same as you. I have no idea why :(

Alemax067

Apr 29, 2024

The same as you. I have no idea why :(

Did you also select “China”?

gavhuang

May 4, 2024

就是拒绝中国区的用户，真是。。

Shiym

May 12, 2024

The same as you. I have no idea why :(

zzfx1166

May 12, 2024

就是拒绝中国区的用户，真是。。

I selected United States

statelesshz

May 13, 2024

same

chaewon00

May 19, 2024

I am writing to request further information regarding the rejection of my access request to the Meta-Llama/Meta-Llama-3-8B repository. The message I received stated: "Your request to access this repo has been rejected by the repo's authors."

I would like to know the specific reason for the rejection and what steps I should take to access the api. I really need your api for my project. I am doing my best to comply with all the guidelines or requirements needed to access this repository.