VHellendoorn/Code-LMs resource

Health v2 · maintenance only

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Adoption not part of the score

1842 stars · 261 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A guide to using pre-trained large language models of source code, centered on the PolyCoder models with instructions for Hugging Face inference, GPT NeoX training, and evaluation. It includes setup instructions, model checkpoints, datasets, and benchmarking guidance.

Use cases

• use polycoder for code generation
• run a pretrained code language model locally
• evaluate code LLMs on humaneval
• learn how to use large models of source code
• load polycoder checkpoints with huggingface transformers
• replicate code model perplexity evaluation

When to choose

• you want a practical guide to running PolyCoder or similar code LLMs
• you need instructions for GPT NeoX-based code model training and evaluation
• you want links to pretrained checkpoints and datasets for code models

When to avoid

• you need a maintained production code-generation service
• you want a general-purpose LLM not specialized for source code
• you need up-to-date model coverage beyond 2022-era models

Facets

learning-resource · maturity maintenance

llm-training llm-inference machine-learning documentation large-language-models deep-learning developer-tools tutorials python code-generation polycoder gpt-neox huggingface source-code-models humaneval gpu docker linux

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