Instructions to use sequelbox/Llama3.1-8B-PlumCode with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use sequelbox/Llama3.1-8B-PlumCode with Transformers:

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

pipe = pipeline("text-generation", model="sequelbox/Llama3.1-8B-PlumCode")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("sequelbox/Llama3.1-8B-PlumCode")
model = AutoModelForCausalLM.from_pretrained("sequelbox/Llama3.1-8B-PlumCode")
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 sequelbox/Llama3.1-8B-PlumCode with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "sequelbox/Llama3.1-8B-PlumCode"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "sequelbox/Llama3.1-8B-PlumCode",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/sequelbox/Llama3.1-8B-PlumCode

SGLang

How to use sequelbox/Llama3.1-8B-PlumCode 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 "sequelbox/Llama3.1-8B-PlumCode" \
    --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": "sequelbox/Llama3.1-8B-PlumCode",
		"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 "sequelbox/Llama3.1-8B-PlumCode" \
        --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": "sequelbox/Llama3.1-8B-PlumCode",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use sequelbox/Llama3.1-8B-PlumCode with Docker Model Runner:
```
docker model run hf.co/sequelbox/Llama3.1-8B-PlumCode
```

Upload folder using huggingface_hub

by sequelbox - opened Oct 2, 2024

base: refs/heads/main

←

from: refs/pr/1

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sequelbox

Owner Oct 2, 2024

•

edited Oct 2, 2024

Upload folder using huggingface_hub

Multi commit ID: 99e0011bbb527ab8ca3feb8a08f8ff51bbb28ebdfdc1075709f2f69dadbb40a7

Scheduled commits:

Upload 1 file(s) totalling 5.0G (993efca13784c9b3116ba844454771f2da6fecca5465de348ec18fab5ca6f1aa)
Upload 1 file(s) totalling 5.0G (b51a6dde5aade101a431f46cc29468db2cd25dc36921299addadfd6de4b25303)
Upload 1 file(s) totalling 4.9G (bc89393419f580f52608706f11fdf64d48b9c78b0f6367ef50ee30774e5c3d79)
Upload 10 file(s) totalling 1.2G (db65fb70b06215128ae608f94eacfd326feec838b7d1c8ce4f7b9b3c8b7d3c42)

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.

993efca13784c9b3116ba844454771f2da6fecca5465de348ec18fab5ca6f1aa458f0292

b51a6dde5aade101a431f46cc29468db2cd25dc36921299addadfd6de4b2530340d192eb

bc89393419f580f52608706f11fdf64d48b9c78b0f6367ef50ee30774e5c3d79f226133b

sequelbox changed pull request title from [WIP] Upload folder using huggingface_hub (multi-commit 99e0011bbb527ab8ca3feb8a08f8ff51bbb28ebdfdc1075709f2f69dadbb40a7) to Upload folder using huggingface_hub Oct 2, 2024

sequelbox

Owner Oct 2, 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.

sequelbox changed pull request status to open Oct 2, 2024

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Delete .ipynb_checkpoints97f251cf

sequelbox changed pull request status to merged Oct 2, 2024

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