Text Generation
Transformers
Safetensors
English
llama
fireplace
function-calling
code
code-instruct
valiant
valiant-labs
llama-2
llama-2-chat
13b
text-generation-inference
Instructions to use ValiantLabs/CodeLlama-13B-Fireplace with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ValiantLabs/CodeLlama-13B-Fireplace with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="ValiantLabs/CodeLlama-13B-Fireplace")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ValiantLabs/CodeLlama-13B-Fireplace") model = AutoModelForCausalLM.from_pretrained("ValiantLabs/CodeLlama-13B-Fireplace") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use ValiantLabs/CodeLlama-13B-Fireplace with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ValiantLabs/CodeLlama-13B-Fireplace" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ValiantLabs/CodeLlama-13B-Fireplace", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/ValiantLabs/CodeLlama-13B-Fireplace
- SGLang
How to use ValiantLabs/CodeLlama-13B-Fireplace 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 "ValiantLabs/CodeLlama-13B-Fireplace" \ --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": "ValiantLabs/CodeLlama-13B-Fireplace", "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 "ValiantLabs/CodeLlama-13B-Fireplace" \ --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": "ValiantLabs/CodeLlama-13B-Fireplace", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use ValiantLabs/CodeLlama-13B-Fireplace with Docker Model Runner:
docker model run hf.co/ValiantLabs/CodeLlama-13B-Fireplace
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