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

Libraries

How to use meta-llama/Meta-Llama-3-8B-Instruct 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-Instruct")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

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

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

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

Use Docker

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

SGLang

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

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

Meta-Llama-3-8B-Instruct does not appear to have a file named config.json

#82

by RK-RK - opened May 1, 2024

Discussion

RK-RK

May 1, 2024

Downloaded the model using

huggingface-cli download meta-llama/Meta-Llama-3-8B-Instruct --include "original/*" --local-dir Meta-Llama-3-8B-Instruct

and am getting the below error:

Meta-Llama-3-8B-Instruct does not appear to have a file named config.json

What am i missing?

narsisfa

May 1, 2024

same problem

francescofiamingo

May 1, 2024

hi! i face the same issue, afterdownload the model, i got the same error, i suggest to look carefully to the name of the file , for same reason the file apperead on my machine like config(1).json , that "1" created some isseues, i delete the "1" and i solved the problem (pay attetion do not leave any -space- between the "config" and the "." , let me know...

narsisfa

May 1, 2024

hi! i face the same issue, afterdownload the model, i got the same error, i suggest to look carefully to the name of the file , for same reason the file apperead on my machine like config(1).json , that "1" created some isseues, i delete the "1" and i solved the problem (pay attetion do not leave any -space- between the "config" and the "." , let me know...

import transformers
import torch

model_path = "./" # replace with the actual path to the model directory
model_id = "Meta-Llama-3-8B-Instruct-Q4_K_M"

Load the model from the local path

model = transformers.AutoModelForCausalLM.from_pretrained(model_path)

Create the pipeline

pipeline = transformers.pipeline(
"text-generation", model=model, model_kwargs={"torch_dtype": torch.bfloat16}, device_map="auto"
)

Test the pipeline

output = pipeline("hi")
print(output)

give this error after get config

OSError: Error no file named pytorch_model.bin, tf_model.h5, model.ckpt.index or flax_model.msgpack found in directory ./.

i downlowa this model:

https://huggingface.co/lmstudio-community/Meta-Llama-3-8B-Instruct-GGUF/resolve/main/Meta-Llama-3-8B-Instruct-Q4_K_M.gguf

narsisfa

May 1, 2024

import transformers
import torch

model_id = "meta-llama/Meta-Llama-3-8B"

pipeline = transformers.pipeline(
"text-generation", model=model_id, model_kwargs={"torch_dtype": torch.bfloat16}, device_map="auto"
)

pipeline("hi")

why carsh and not give response?
i run it on colab

francescofiamingo

May 1, 2024

https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct/tree/main this is the right link, go there and then one by one dowload all files

RK-RK

May 1, 2024

hi! i face the same issue, afterdownload the model, i got the same error, i suggest to look carefully to the name of the file , for same reason the file apperead on my machine like config(1).json , that "1" created some isseues, i delete the "1" and i solved the problem (pay attetion do not leave any -space- between the "config" and the "." , let me know...

HI , I verified this is not the issue for me..Thanks

madhav18

Jun 6, 2024

I am tooo facing the same issue...can anyone help me in resolving..tried everything..!

mohsen22

Jun 6, 2024

I am tooo facing the same issue...can anyone help me in resolving..tried everything..!

Hi .resolved

https://colab.research.google.com/drive/1BDglz53-s9Cs9rBR4SarJ0TTZeXnahdb

maguitai

Jun 10, 2024

---------------------------------.profile
export HF_TOKEN=''
export HUGGING_FACE_HUB_TOKEN=''
#both write token (the same created after having access)
-------------------Shell
source ~/.profile
huggingface-cli login

huggingface-cli download meta-llama/Meta-Llama-3-8B-Instruct --include "original/*" --local-dir Meta-Llama-3-8B-Instruct
------------------------------- test.py
import torch
import transformers
import os
from huggingface_hub import login
HF_TOKEN=os.getenv('HF_TOKEN')

model_id = 'meta-llama/Meta-Llama-3-8B-Instruct'
pipeline = transformers.pipeline(
"text-generation", model=model_id, token=HF_TOKEN, model_kwargs={"torch_dtype": torch.bfloat16}, device_map="auto"
)
pipeline("Hey how are you doing today?")

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

· Sign up or log in to comment