Instructions to use philikai/CodeLlama-7b-hf-SQL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use philikai/CodeLlama-7b-hf-SQL with Transformers:

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

pipe = pipeline("text-generation", model="philikai/CodeLlama-7b-hf-SQL")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("philikai/CodeLlama-7b-hf-SQL")
model = AutoModelForCausalLM.from_pretrained("philikai/CodeLlama-7b-hf-SQL")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use philikai/CodeLlama-7b-hf-SQL with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "philikai/CodeLlama-7b-hf-SQL"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "philikai/CodeLlama-7b-hf-SQL",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/philikai/CodeLlama-7b-hf-SQL

SGLang

How to use philikai/CodeLlama-7b-hf-SQL 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 "philikai/CodeLlama-7b-hf-SQL" \
    --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": "philikai/CodeLlama-7b-hf-SQL",
		"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 "philikai/CodeLlama-7b-hf-SQL" \
        --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": "philikai/CodeLlama-7b-hf-SQL",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use philikai/CodeLlama-7b-hf-SQL with Docker Model Runner:
```
docker model run hf.co/philikai/CodeLlama-7b-hf-SQL
```

Model training details

by samarthg - opened Feb 22, 2024

Discussion

samarthg

Feb 22, 2024

@philikai Thank you for making this fine tuned model available with community. Kindly share the details of training so that we can experiment further.
Training data
Epochs and other parameters used for this.

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