Instructions to use bigcode/octocoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bigcode/octocoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="bigcode/octocoder")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bigcode/octocoder", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use bigcode/octocoder with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "bigcode/octocoder" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "bigcode/octocoder", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/bigcode/octocoder
- SGLang
How to use bigcode/octocoder 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 "bigcode/octocoder" \ --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": "bigcode/octocoder", "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 "bigcode/octocoder" \ --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": "bigcode/octocoder", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use bigcode/octocoder with Docker Model Runner:
docker model run hf.co/bigcode/octocoder
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## Model
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- **Architecture:** GPT-2 model with multi-query attention and Fill-in-the-Middle objective
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- **Steps:** 250k pretraining &
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- **Pretraining tokens:** 1 trillion pretraining &
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- **Precision:** bfloat16
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## Hardware
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- **GPUs:** 512 Tesla A100
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- **Training time:** 24 days
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- **Instruction tuning:**
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- **GPUs:**
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## Software
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## Model
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- **Architecture:** GPT-2 model with multi-query attention and Fill-in-the-Middle objective
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- **Steps:** 250k pretraining & 30 instruction tuning
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- **Pretraining tokens:** 1 trillion pretraining & 2M instruction tuning
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- **Precision:** bfloat16
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## Hardware
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- **GPUs:** 512 Tesla A100
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- **Training time:** 24 days
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- **Instruction tuning:**
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- **GPUs:** 8 Tesla A100
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- **Training time:** 4 hours
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## Software
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