Instructions to use codellama/CodeLlama-34b-Instruct-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use codellama/CodeLlama-34b-Instruct-hf with Transformers:

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

pipe = pipeline("text-generation", model="codellama/CodeLlama-34b-Instruct-hf")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("codellama/CodeLlama-34b-Instruct-hf")
model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-34b-Instruct-hf")
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 codellama/CodeLlama-34b-Instruct-hf with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "codellama/CodeLlama-34b-Instruct-hf"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "codellama/CodeLlama-34b-Instruct-hf",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/codellama/CodeLlama-34b-Instruct-hf

SGLang

How to use codellama/CodeLlama-34b-Instruct-hf 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 "codellama/CodeLlama-34b-Instruct-hf" \
    --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": "codellama/CodeLlama-34b-Instruct-hf",
		"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 "codellama/CodeLlama-34b-Instruct-hf" \
        --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": "codellama/CodeLlama-34b-Instruct-hf",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use codellama/CodeLlama-34b-Instruct-hf with Docker Model Runner:
```
docker model run hf.co/codellama/CodeLlama-34b-Instruct-hf
```

HuggingChat in Python

#23

by AndresChernin - opened Dec 23, 2023

Discussion

AndresChernin

Dec 23, 2023

I want to use HuggingChat in the Jupyter Notebook of the University of Muenster. Therefore, I am installing HuggingChat in the Jupyter Notebook terminal using the following command:

bash

pip install huggingchat

As a result, the following message appears:

vbnet

Defaulting to user installation because normal site-packages is not writeable
Requirement already satisfied: huggingchat in ./.local/lib/python3.10/site-packages (0.0.1.dev0)
Requirement already satisfied: torch in /opt/conda/lib/python3.10/site-packages (from huggingchat) (2.0.1+cu118)
...

As a solution, I am using a virtual environment:

bash

python -m venv venv
source venv/bin/activate
pip install huggingchat

Despite this, when executing the following command:

python

from huggingchat.models import default_model

I get the error:

vbnet

ModuleNotFoundError: No module named 'huggingchat'

Also, using:

python

from transformers.models import Transformer

causes the error:

javascript

ImportError: cannot import name 'Transformer' from 'transformers.models' (/home/a/a_cher01/.local/lib/python3.10/site-packages/transformers/models/init.py)

It seems there might be an issue with the installation or environment setup. I have tried activating the virtual environment, checking the Python version, reinstalling the packages, restarting the Jupyter kernel, and ensuring the correct kernel is used. However, the problem persists. I am seeking assistance in the HuggingChat forum.

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