Instructions to use artificialguybr/llama3-8b-sql-create-context with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use artificialguybr/llama3-8b-sql-create-context with Transformers:

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

pipe = pipeline("text-generation", model="artificialguybr/llama3-8b-sql-create-context")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("artificialguybr/llama3-8b-sql-create-context")
model = AutoModelForCausalLM.from_pretrained("artificialguybr/llama3-8b-sql-create-context", 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]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use artificialguybr/llama3-8b-sql-create-context with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "artificialguybr/llama3-8b-sql-create-context"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "artificialguybr/llama3-8b-sql-create-context",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/artificialguybr/llama3-8b-sql-create-context

SGLang

How to use artificialguybr/llama3-8b-sql-create-context 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 "artificialguybr/llama3-8b-sql-create-context" \
    --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": "artificialguybr/llama3-8b-sql-create-context",
		"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 "artificialguybr/llama3-8b-sql-create-context" \
        --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": "artificialguybr/llama3-8b-sql-create-context",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use artificialguybr/llama3-8b-sql-create-context with Docker Model Runner:
```
docker model run hf.co/artificialguybr/llama3-8b-sql-create-context
```

artificialguybr commited on Jul 20

Commit

75aea3b

verified ·

1 Parent(s): 75eaf75

docs: add missing creator links

Browse files

Files changed (1) hide show

README.md +8 -0

README.md CHANGED Viewed

@@ -156,3 +156,11 @@ The following hyperparameters were used during training:
 - Pytorch 2.2.2+cu121
 - Datasets 2.15.0
 - Tokenizers 0.15.0

 - Pytorch 2.2.2+cu121
 - Datasets 2.15.0
 - Tokenizers 0.15.0
+<!-- artificialguybr-links:start -->
+### Explore More
+Discover more of my models, projects, and practical AI resources:
+- **AI tools directory:** [JustGoodAI](https://justgoodai.com/) — a curated directory of useful AI tools.
+<!-- artificialguybr-links:end -->