Instructions to use TheRoblocCreators/LuaCoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheRoblocCreators/LuaCoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="TheRoblocCreators/LuaCoder")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TheRoblocCreators/LuaCoder", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use TheRoblocCreators/LuaCoder with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "TheRoblocCreators/LuaCoder" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "TheRoblocCreators/LuaCoder", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/TheRoblocCreators/LuaCoder
- SGLang
How to use TheRoblocCreators/LuaCoder 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 "TheRoblocCreators/LuaCoder" \ --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": "TheRoblocCreators/LuaCoder", "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 "TheRoblocCreators/LuaCoder" \ --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": "TheRoblocCreators/LuaCoder", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use TheRoblocCreators/LuaCoder with Docker Model Runner:
docker model run hf.co/TheRoblocCreators/LuaCoder
Create README.md
Browse files
README.md
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---
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license: openrail
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datasets:
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- nick007x/github-code-2025
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- CoIR-Retrieval/CodeSearchNet
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- TorpedoSoftware/Roblox-Luau-Reasoning-v1.0
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language:
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- en
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- fr
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- ar
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- zh
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- hi
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- es
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- bn
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- pt
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- ru
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- ur
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metrics:
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- accuracy
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- code_eval
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- codeparrot/apps_metric
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base_model:
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- mistralai/Mistral-7B-Instruct-v0.3
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- zai-org/GLM-4.6
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- tiiuae/Falcon-H1-1.5B-Deep-Instruct
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- deepseek-ai/DeepSeek-V3.1
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- deepseek-ai/DeepSeek-V3.2-Exp
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| 28 |
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- google/gemma-3-27b-it
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- akhaliq/gpt-5
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- xai-org/grok-2
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new_version: deepseek-ai/DeepSeek-OCR
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pipeline_tag: text-generation
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library_name: transformers
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tags:
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- code
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---
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